Topaz Mask AI is easy to use and produces pretty good results without a lot of effort. It's an early release so it's not as quick or stable as it could be, but I am sure that will be fixed with some pretty prompt upgrades.
Showing posts with label Topaz. Show all posts
Showing posts with label Topaz. Show all posts
Monday, October 28, 2019
Mythology
Just some weekend fun in between mowing the lawns and testing out Topaz's latest tool - "Mask AI". So, take some of those fantastic designs shot at the World of Wearable art (WoW) in Nelson - Apply some masking and some imagination and we have "Mythology":
Topaz Mask AI is easy to use and produces pretty good results without a lot of effort. It's an early release so it's not as quick or stable as it could be, but I am sure that will be fixed with some pretty prompt upgrades.
Topaz Mask AI is easy to use and produces pretty good results without a lot of effort. It's an early release so it's not as quick or stable as it could be, but I am sure that will be fixed with some pretty prompt upgrades.
Friday, February 1, 2019
Topaz JPEG to RAW AI
I’m a Topaz fan, but Topaz are over-hyping their latest product, “JPEG to RAW AI”. It’s a deceptive title which has a lot to do with marketing and very little to do with reality. The program does try to make the best of a file in the JPG format, but does it create a RAW file? Emphatically not. Not even close.
This is a shame because, after forcing myself to ignore the hype and stay with the testing, I did find a program which is useful, even though it doesn’t do what it says on the tin. Here’s a look at what it can do.
Sometimes, all you have is a JPG file and no amount of wishful thinking or regret will get you the RAW file that you wish for. Some of us develop strategies to get the best out of these JPEG files, some just give up and go take another picture. But now, JPEG to RAW AI does bring something extra to the party. Whether it is extra enough to be worth paying nearly US$100 for is another question.
I did tests; lots of tests. Here is one test that is fairly indicative of them all. The original JPG file was well exposed and taken at a low ISO. Nevertheless, the results are not that pretty - this is a screenshot of a portion of the picture at 200% magnification. As you can see, it’s fairly ‘gritty’ with both JPEG artefacts and noise. On an arbitrary quality scale of 0-5, I’m going to score this at the bottom = ‘0’ (the best sample will score a ‘5’). (You may need to view the pictures larger to see the differences.)
In the second screen-shot, I applied just enough noise reduction to remove the ‘grit’. I used Topaz DeNoise 6 on a fairly low setting and then added a bit of sharpening. It’s better, the grit has gone, but now the grass is turning to mush. This is the typical noise reduction tradeoff and, depending on your personal preference, may raise the quality score to 1 or maybe a 2.
The third screenshot is what I usually do with JPEG files, I use Topaz AI Gigapixel to reduce the file size by 50% which removes most of the grit, and then enlarge by 200% which restores some clean detail using Topaz’s AI algorithms. Finally, a touch of DeNoise 6 deals with any small amount of remaining ‘grit’ while also taking the edge off of AI Gigapixel’s aggressive sharpening. The result is much better all around but, at 200% magnification, some ‘staircasing’ is evident and the very finest of detail has been lost - this is almost invisible at normal viewing magnification. For me, this jumps the quality score up to about a 4 and produces a usable file
Finally, I run JPEG to RAW AI and again, because this deals with JPEG artefacts but not actual noise, I have to add a touch of DeNoise 6, just as I did with the other samples. This deals with all the ‘grit’ in the original file, shows no ‘staircasing’ and retains the finest of detail. This is the best of all the four tests and therefore sets the upper bar of the score table at 5.
Topaz also claim an improvement in highlight and shadow recovery. Quite frankly, I could find no evidence of this beyond that which anyone can get from converting a JPEG file to a 16 bit TIFF before attempting the recovery - and you don’t need expensive software to do that.
All this creates a dilemma; JPEG to RAW AI does do a very good job but I already have AI Gigapixel and can get most of the way there without spending another US$100 on a new piece of software (which, by the way, takes several minutes to process a 20Mb JPEG file). If I can get ⅘ of the improvement without spending a cent more, then is JPEG to RAW AI worth its rather high price for that last little step? Probably not.
And, Topaz, please drop this JPEG to RAW nonsense - it’s just embarrassing and makes you look silly.
This is a shame because, after forcing myself to ignore the hype and stay with the testing, I did find a program which is useful, even though it doesn’t do what it says on the tin. Here’s a look at what it can do.
Sometimes, all you have is a JPG file and no amount of wishful thinking or regret will get you the RAW file that you wish for. Some of us develop strategies to get the best out of these JPEG files, some just give up and go take another picture. But now, JPEG to RAW AI does bring something extra to the party. Whether it is extra enough to be worth paying nearly US$100 for is another question.
I did tests; lots of tests. Here is one test that is fairly indicative of them all. The original JPG file was well exposed and taken at a low ISO. Nevertheless, the results are not that pretty - this is a screenshot of a portion of the picture at 200% magnification. As you can see, it’s fairly ‘gritty’ with both JPEG artefacts and noise. On an arbitrary quality scale of 0-5, I’m going to score this at the bottom = ‘0’ (the best sample will score a ‘5’). (You may need to view the pictures larger to see the differences.)
In the second screen-shot, I applied just enough noise reduction to remove the ‘grit’. I used Topaz DeNoise 6 on a fairly low setting and then added a bit of sharpening. It’s better, the grit has gone, but now the grass is turning to mush. This is the typical noise reduction tradeoff and, depending on your personal preference, may raise the quality score to 1 or maybe a 2.
The third screenshot is what I usually do with JPEG files, I use Topaz AI Gigapixel to reduce the file size by 50% which removes most of the grit, and then enlarge by 200% which restores some clean detail using Topaz’s AI algorithms. Finally, a touch of DeNoise 6 deals with any small amount of remaining ‘grit’ while also taking the edge off of AI Gigapixel’s aggressive sharpening. The result is much better all around but, at 200% magnification, some ‘staircasing’ is evident and the very finest of detail has been lost - this is almost invisible at normal viewing magnification. For me, this jumps the quality score up to about a 4 and produces a usable file
Finally, I run JPEG to RAW AI and again, because this deals with JPEG artefacts but not actual noise, I have to add a touch of DeNoise 6, just as I did with the other samples. This deals with all the ‘grit’ in the original file, shows no ‘staircasing’ and retains the finest of detail. This is the best of all the four tests and therefore sets the upper bar of the score table at 5.
Topaz also claim an improvement in highlight and shadow recovery. Quite frankly, I could find no evidence of this beyond that which anyone can get from converting a JPEG file to a 16 bit TIFF before attempting the recovery - and you don’t need expensive software to do that.
All this creates a dilemma; JPEG to RAW AI does do a very good job but I already have AI Gigapixel and can get most of the way there without spending another US$100 on a new piece of software (which, by the way, takes several minutes to process a 20Mb JPEG file). If I can get ⅘ of the improvement without spending a cent more, then is JPEG to RAW AI worth its rather high price for that last little step? Probably not.
And, Topaz, please drop this JPEG to RAW nonsense - it’s just embarrassing and makes you look silly.
Saturday, September 8, 2018
Topaz AI Gigapixel - tested
When Topaz came out with their AI Gigapixel (AIG), image resizing product, I was sceptical. Firstly, I had tried many resizing products in the past and had settled on one that worked quite well (within the accepted constraints of resizing). Could AIG, do better than what I was already using? I doubted it.
My first attempt was not good. AIG crashed on first use and clearly didn't want to work with my graphics card. I walked away disappointed but not altogether surprised. I told myself that, anyway, it probably wouldn't have been any better than what I was already using.
I must be a glutton for punishment because when the email arrived announcing an improved 1.1 version, I downloaded it and tried again. This version included a CPU mode, which bypassed the GPU on my graphics card. That should, at least, allow it to run.
It did run, and the first output looked surprisingly good. So I devised a stricter test - I took a 24MP DSLR image and downsized it, in my normal editing program, to 6MP (half the width and height). I then put the 6MP image through AI Gigapixel at 200% to bring it back to its original size. I could then compare the original 24MP image with the enlarged 24MP AIG image and see how different they were.
The AIG image was sharper than the original. AIG obviously adds some sharpening during the resizing process. To compensate, I added some sharpening to the original file so that they were more directly comparable. What I was really looking for was a loss of detail and fat 'jaggy' edges in the enlargement. At 100% I could not see any difference between the two files. Definitely, not the result I was expecting.
The screen-shot above is taken at 200% magnification and contains both in focus and out of focus items. The original image is on the left and the AIG resized image is on the right. I am still struggling to see any significant difference between the two images. Not quite believing what I was seeing, I repeated the same test on other images all with a similar result.
As a final test, I took an image from a different camera - a compact with a 1/2.3", 16Mp sized sensor. I enlarged the image by 200% in my image editor, using the bicubic sampling method and then enlarged the same image in AIG and compared the results. The screenshot below, is at 200% magnification and the results are quite surprising - the AIG image has much finer detail (particularly at the edges), texture seems to have been replicated rather than enlarged, and image grain has been suppressed to a far greater extent, leading to a much cleaner image that would be difficult to pick as an enlargement.
All my tests with AIG have been at 200% enlargement because that is what I would normally use. But AIG can enlarge up to 600% (though the results may not be so acceptable). The shrink-enlarge experiment indicates that AIG could be an effective substitute for a camera sensor with four times as many pixels (16MP becomes 64MP) or for a longer focal length lens. AIG produces significantly better results when compared with either a standard bicubic enlargement or previous industry-leading enlargers.
US$99 does seem a lot for a single task piece of software. But when compared with the cost of a camera with a larger sensor or a lens with a longer reach, AI Gigapixel may well be a reasonably priced alternative.
My first attempt was not good. AIG crashed on first use and clearly didn't want to work with my graphics card. I walked away disappointed but not altogether surprised. I told myself that, anyway, it probably wouldn't have been any better than what I was already using.
I must be a glutton for punishment because when the email arrived announcing an improved 1.1 version, I downloaded it and tried again. This version included a CPU mode, which bypassed the GPU on my graphics card. That should, at least, allow it to run.
It did run, and the first output looked surprisingly good. So I devised a stricter test - I took a 24MP DSLR image and downsized it, in my normal editing program, to 6MP (half the width and height). I then put the 6MP image through AI Gigapixel at 200% to bring it back to its original size. I could then compare the original 24MP image with the enlarged 24MP AIG image and see how different they were.
The AIG image was sharper than the original. AIG obviously adds some sharpening during the resizing process. To compensate, I added some sharpening to the original file so that they were more directly comparable. What I was really looking for was a loss of detail and fat 'jaggy' edges in the enlargement. At 100% I could not see any difference between the two files. Definitely, not the result I was expecting.
![]() |
| Screenshot - Original 24MP file on left - 6MP file enlarged to 24MP on right (click to see full size) |
As a final test, I took an image from a different camera - a compact with a 1/2.3", 16Mp sized sensor. I enlarged the image by 200% in my image editor, using the bicubic sampling method and then enlarged the same image in AIG and compared the results. The screenshot below, is at 200% magnification and the results are quite surprising - the AIG image has much finer detail (particularly at the edges), texture seems to have been replicated rather than enlarged, and image grain has been suppressed to a far greater extent, leading to a much cleaner image that would be difficult to pick as an enlargement.
![]() |
| Screenshot - Bicubic enlargement on left, AIG enlargement on right (click to see full size) |
US$99 does seem a lot for a single task piece of software. But when compared with the cost of a camera with a larger sensor or a lens with a longer reach, AI Gigapixel may well be a reasonably priced alternative.
Monday, September 2, 2013
Digital opalotype
The opalotype was an early photographic technique where images were made on a 'milky' or 'opal' glass plate. Very often, after development, the plates were hand painted to make a photograph which had a quality similar to that of a water colour painting. I started experimenting with a digital form of opalotype in 2011 and have refined the process using a variety of tools including Lightroom, Photoshop (or substitute) and Topaz filters. This 'street' shot from Sunday's Farmers Market is an example of what the process can produce.
The steps involved are not difficult but can be time consuming:
- Develop your image in Lightroom to create a good quality, natural, colour image
- Take the image into PhotoShop or equivalent (layer 1)
- Create a duplicate layer and make it into a black and white image (layer 2). I usually use Topaz Black and White Effects.
- Duplicate layer 1 again and move it to the top of the stack (layer 3)
- Take layer 3 and reduce it to splashes of colour only (no outlines). I do this in Topaz Simplify, using a variation of the Buz Sim preset.
- Change the blending mode of layer 3 to 'color' and reduce the opacity to taste (30%is a good stating point)
- Duplicate layer 1 again and move it to the top of the stack (layer 4)
- Take layer 4 and reduce it to outlines on a white background (no colour). I also do this in Topaz Simplify using the same Buz Sim preset, but set to generate black outlines only.
- Remove unwanted outlines (usually in the background and sky) by painting them out with white on layer 4 (try to outline only the main subjects)
- Change the blending mode of layer 4 to 'Linear Burn" and reduce the opacity to taste (30%-50% is usually good). Then examine it critically and paint out any outlines which don't look natural (the edges of shadows are an example)
- Flatten the image and return it to Lightroom
- In Lightroom make any final adjustments to colour and tone and then create a radial gradient (LR5) to fill the image (Ctrl+double click) then lighten and reduce contrast, saturation, clarity and sharpness at the outer edge of the gradient.
- Finally create a narrow white border around the image with feathered edges - this should blend with the lightening you did in step 12 to produce the milky white edges and corners of the final image.
And that, is that. It's not a recipe, as such, because every picture is different but, following this approach and using your own judgement, will give you some very interesting results that look as though they fall somewhere between a photograph and a water colour painting. As you practice on different pictures you will soon get to know what works and what doesn't and adjust settings as appropriate. Good luck and have fun with digital opalotypes.
Labels:
Lightroom 5,
Opalotype,
post processing,
Topaz
Location:
Oxford, New Zealand
Sunday, May 19, 2013
Lady with whip
Not sure how this will work out but I'm experimenting with this photo by uploading at HD (1080px high). "Lady with whip" was captured at the Oxford A&P show in March. I posted a B&W version on G+ but this is the original colour. Usually I tend to think that a particular photo should be either colour or black and white as dictated by the subject matter and the capture but, in this case, I really can't decide between the two:
D600 1/320 sec @ f5.6 and ISO 200. 210mm on a Nikkor 28-300. Processed in Lightroom and PhotoLine using Topaz filters.
More pictures here!
D600 1/320 sec @ f5.6 and ISO 200. 210mm on a Nikkor 28-300. Processed in Lightroom and PhotoLine using Topaz filters.
More pictures here!
Location:
Oxford, New Zealand
Saturday, May 4, 2013
Shovels and clarity
This weekend I've been testing a new Topaz filter, "Clarity". It's not yet released (perhaps 2-4 weeks away) but it looks very promising and a worthy addition to the Topaz toolbox. I used it on this picture (in addition to other filters) to restore what was a rather flat 6,400 ISO RAW file, to what I remembered seeing:
Nikon D600, 1/5 sec (hand-held) @ f11 and ISO 6,400 28-300 Nikkor lens @ 62mm. Processed in Lightroom and Photoline using a variety of Topaz filters.
Nikon D600, 1/5 sec (hand-held) @ f11 and ISO 6,400 28-300 Nikkor lens @ 62mm. Processed in Lightroom and Photoline using a variety of Topaz filters.
Location:
Rutherglen, Greymouth 7805, New Zealand
Saturday, April 13, 2013
Shear skill
Watching the shearers at work is fascinating; a real display of speed, strength and skill. The D600 did a fantastic job under challenging lighting conditions, Lightroom brought out the shadow detail and Topaz dealt with the introduced noise (I keep trying other tools but these are the ones I come back to). 1/2500 sec @ f5.6 and 300mm on a Nikon 28-300 lens. Good job everyone; you too sheep.
Location:
Oxford, New Zealand
Sunday, May 6, 2012
Up-size me, please
Today, I have been playing around with some old reject images as test subjects. My issue was, 'how to print at large sizes (say 1m wide) when you only have a camera with a 10Mega-pixel sensor? To print with good quality at 1m width would requires an image about 50Mp in size - larger than the new Nikon D800 and well into the outrageously expensive medium format digital category. However, Mp is a square measure and, while the long edge of my 10Mp sensor is 3,872px, a 50Mp sensor would be about 8,640px - only a 2.2x linear increase.
Conventional wisdom (and my own prior experience) says that you can't increase an image by 220% and get good quality (even using professional re-sizing tools) but today I tried some other techniques and came up with a solution that provides good sharpness and smooth detail without obvious artifacting. Even with my perfectionist, pixel peeping, ways I would be hard pressed to detect the up-sizing, if I didn't know. Basically, after cleaning the image of any digital noise, a standard "bicubic smoother" upsize, followed by a pass through Topaz 'In focus' and a light touch with Topaz 'Detail', provides a large image file that I am happy to work with.
Of course this web picture is not 1m wide, so you can't see the results, but if you are a Topaz user you can try for yourself and see what results you get. This is not something to be applied at the end of the processing - it is something to do at the start, so that you have a large digital file entering the normal post-processing cycle. done this way, you can still provide some additional output sharpening using whatever tool you prefer at the end.
Anyway, re-sizing aside, this image had quite grown on me by the time I had finished. :-)
Wednesday, April 11, 2012
Photoshop CS6 Beta - first thoughts
As a certified 'skinflint', I have been using Adobe Photoshop Elements 10 for my picture making. Coupled with Lightroom 4, they make a very competent pair of products at a competitive price (about NZ$400 direct from Adobe). Then I decided to download the Photoshop CS6 Beta ...
I like it; a lot.
That general "like" aside, I was able to identify eight features of CS6 that I would use with some frequency (in addition to those features I already use in PSE10). They are (in order of discovery):
I like it; a lot.
That general "like" aside, I was able to identify eight features of CS6 that I would use with some frequency (in addition to those features I already use in PSE10). They are (in order of discovery):
- A complete 16 bit, end to end, workflow. (PSE 10 is effectively limited to 8 bit)
- The new "Adaptive wide angle" filter - excellent straightening results for little effort
- The new photographic blur tools
- The additional adjustment layers available over and above those in PSE10
- Being able to use my Topaz plugins as "smart filters"
- The "Content aware patch tool"
- The Art History brush for photo painting effects
- A simplified workflow when compared to PSE10 (2 files instead of 3)
These are quite significant additions for a photographer (designers may have a different set). The problem I am left with is this: Is the value of these eight features worth the additional NZ$930 price of CS5/6 over PSE10? In all honestly, I think the answer should be, "no way". But, what will I do when the beta runs out in June?
Sunday, April 1, 2012
Topaz Filters - the big picture
Having written about Topaz DeNoise a couple of weeks back, I was going to follow that up with a quick write up about "Topaz Infocus". However, Topaz just came out with this cool video which talks about how all eleven Topaz products work together, so I thought it would be worthwhile sharing the video. I'll come back to "InFocus" later on.
Monday, March 19, 2012
Topaz DeNoise
Over the last year or two, I have become rather reliant in my post processing on a set of software filters from Topaz Labs (http://www.topazlabs.com/). These filters encompass everything from noise reduction, through black and white conversion and tonal adjustments to special effects. They are not cheap – NZ$370 for a 10 filter bundle – though sometimes they come up on offer, and I originally brought mine for half that price. They are also available individually for those that just need just one or two filters.
I use Photoshop Elements (NZ$165) and, with Elements and Topaz combined, find no need to pay NZ$1,300 for Photoshop CS5. So, that said, I thought it worth talking about those filters that I especially find indispensable; starting with Topaz DeNoise (http://www.topazlabs.com/denoise/).
I hate digital noise. I also used to hate grain in my prints from film, but some people deliberately add grain to their digital images, so I’m open to the fact that not everyone will hate noise as much as I do. My Nikon does a pretty good job at keeping noise down, but at higher ISO or in pictures with a high dynamic range, noise can still intrude. Nikon’s own software (NX2) and Photoshop both have crude noise reduction algorithms that seem to suppress detail at the same rate as they suppress noise. Topaz DeNoise is different.
When I first used DeNoise, I was so blown away by the clean results I got that two things happened – I got cross at being short changed by the mainstream software providers (not helpful) and I raised my usable ISO ceiling by two full stops (very helpful)! That was simply using the basic presets that came with the tool. Since then, I have learned how to use the controls that DeNoise provides to finesse even more detail from previously unusable RAW files.
Now let me be clear, this isn’t a tool you would want to use to process a thousand RAW files from a photo shoot – that would take an eternity, but for those photographers preparing top quality files for final use in print or even web, its a godsend. Below is a 100% crop from a review picture taken on the Nikon D5100, 16Mp sensor at ISO 6,400. The first frame is from the original RAW file and the second is after a minute in Topaz DeNoise – given the subject matter, quite a usable result.
So, that’s Topaz DeNoise and why I couldn’t live without it :-)
Disclaimer: I am just a Topaz user; I have no other relationship with Topaz and have received nothing from Topaz for this review.
Friday, December 9, 2011
Two years later ...
It's amazing the difference two years experience can make. I took this image in 2009 but it has languished on the hard drive for two years because I couldn't get it looking right. The main problem was noise. there were huge areas of noise in the mid-ground trees and even to reduce the noise to that level, there was excessive smearing of the distant details. In short it looked a mess.
Since then I have acquired better tools (Topaz) and a better understanding of how to use them. Installing Lightroom 3 this week, the original image resurfaced and so I took another shot at it using the new tools and a more refined workflow:
Now it looks the way I originally wanted it to; no visible noise and nice sharp detail all the way from the foreground rock to the mountains - 14mm, 1/350, f16, IS0800 (hence the noise problem).
Since then I have acquired better tools (Topaz) and a better understanding of how to use them. Installing Lightroom 3 this week, the original image resurfaced and so I took another shot at it using the new tools and a more refined workflow:
Now it looks the way I originally wanted it to; no visible noise and nice sharp detail all the way from the foreground rock to the mountains - 14mm, 1/350, f16, IS0800 (hence the noise problem).
Wednesday, November 23, 2011
Glentui Bush
Took a walk in Glentui Bush on Monday with the intention of refining my processes for High Dynamic Range photography in general and panoramic HDR in particular. This was the second trip as I totally messed up the process on Sunday and came back with only half decent material. The second time was much better and the process seems pretty solid now (if a little time consuming).
This shot is the compilation of a 3 frame x 6 exposure sequence (18 images) taken at ISO 100, f8 and speeds between 1/500 and 1/15 second. Each exposure sequence was combined in Photomatix Pro and the three images stitched in AutopanoPro. Further processing was done in Photoshop using Topaz filters.
More pictures from this outing can be seen at: https://picasaweb.google.com/102496606900301125582/SpringGlentuiBush
This shot is the compilation of a 3 frame x 6 exposure sequence (18 images) taken at ISO 100, f8 and speeds between 1/500 and 1/15 second. Each exposure sequence was combined in Photomatix Pro and the three images stitched in AutopanoPro. Further processing was done in Photoshop using Topaz filters.
More pictures from this outing can be seen at: https://picasaweb.google.com/102496606900301125582/SpringGlentuiBush
Thursday, October 13, 2011
Rediscovering the opalotype
Photographic history is littered with now obsolete processing methods, like the cyanotype or the daguerreotype. One of the advantages of today's digital darkroom is being able to revisit some of these processes without needing to acquire specialist materials and chemicals and engage in strange rituals in darkened rooms. One such process that I am really enjoying is the opalotype.
Opalotypes were produced on milky white glass plates and the resulting monochrome image was then hand tinted to produce pictures that were (according to Wikipedia) "close to watercolour or even pastel in its softer coloring and tender mood." I suspect that it is probably this quality that draws me to the effect for certain subjects; like the Old Iron Bridge near Twizel in South Canterbury .
What do you think of the opalotype; nice and subtle or too last, last, century?
Opalotypes were produced on milky white glass plates and the resulting monochrome image was then hand tinted to produce pictures that were (according to Wikipedia) "close to watercolour or even pastel in its softer coloring and tender mood." I suspect that it is probably this quality that draws me to the effect for certain subjects; like the Old Iron Bridge near Twizel in South Canterbury .
What do you think of the opalotype; nice and subtle or too last, last, century?
Labels:
art,
bridge,
Canterbury,
landscape,
photo,
post processing,
river,
Topaz
Friday, October 7, 2011
Playing in the rain
The advantage of rainy days is that I can sit at my computer and play with new ideas and approaches to pictures, without feeling guilty (about the length of the grass, the weeds and the vegetable garden). Having upgraded Photoshop Elements to version 10 (from 8) and Topaz Black and White effects to version 1.1, I have had quite a lot to play with. This large format (100 cm width) picture was the result of a couple of days 'play':
Originally taken with a 10mm lens on a Nikon D80, it is now a 7,800 x 5,400 pixel image file on a canvas texture, as shown in this 100% crop from one edge:

I have been hugely impressed with the Topaz line of digital filters and, now that PS Elements has proper layer masks (from v9) the combination of PS Elements and Topaz filters makes for a great post processing suite at a reasonable cost.
Originally taken with a 10mm lens on a Nikon D80, it is now a 7,800 x 5,400 pixel image file on a canvas texture, as shown in this 100% crop from one edge:
I have been hugely impressed with the Topaz line of digital filters and, now that PS Elements has proper layer masks (from v9) the combination of PS Elements and Topaz filters makes for a great post processing suite at a reasonable cost.
Location:
Waimakariri Gorge Bridge, New Zealand
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