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Defishing in
Photoshop CS3, converting Pentax 10-17 zoom fisheye images to normal
view via software
My starting point
was an excellent web page here
which also mentions other alternatives (I didnt find the file type
restrictions mentioned on that page still apply).
My lens is the interesting Pentax 10-17 zoom fisheye. The software
tried will also correct barrel distortion but I have not tested that.
These are my first impressions. ![]() Panorama tools ![]() PTLens Install was simple. As was use, just play with the slider. The image from PTLens (below) will show you why the above image was automatically truncated, look at the purple fringing at left and right, for instance. PTlens initial version below after cropping vignettes ![]() The next job is to investigate ways of removing the purple fringing which was evident in both (full sized) results. This is a simple method, no doubt more complex ones yield better results. In PS open image | adjustments | hue/saturation. Select the blue or magenta channel. Use the left eyedropper tool to select the purple fringe and then desaturate till its not noticable. Repeat for other fringe colours. (below) ![]() There is still distortion in the image, (look at the silver "Mini" on the left) but for many applications it could work well. However, for anything rquiring quality results the edges of the image fall short due to the "stretching" needed to correct the image. First field trip In landscape work the fisheye effect may not be noticable at all (below). ![]() The 10-17 set at 17mm is slightly wider (as you might expect) than the 18-55mm, used at these more moderate FOVs, defishing does not produce the loss of quality associated with "full on" 10mm fisheye shots. (below) ![]() November
2008 (more experimentation will follow!
* (Calculating horizontal field of view and vertical field of view from diagonal field of view) HFOV^2 + VFOV^2 = DFOV HFOV/VFOV = aspect ratio, 1.5 for most 35 mm cameras Solving for VFOV: VFOV = (DFOV^2/(AspectRatio^2 + 1))^0.5 VFOV = 100, HFOV = 150 (thanks to Matt, Photosig member) |