How can I improve photos from an early digital camera without making them look worse?

Asked 2/21/2015

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I have many photos from a 1997 Epson PhotoPC 600. They are only 1024×768 and show typical early-digital problems: jagged/stair-stepped edges, color noise, low dynamic range, low contrast/saturation, and some chromatic aberration/purple fringing. I know I cannot create real detail that is not there, but I would like to make these images look as good as reasonably possible for modern viewing, possibly including a 2× upscale to 2048×1536. What edits are worth doing, and in what order, to improve this kind of file without introducing too many artifacts?

Originally by Photography Stack Exchange contributor. Source · Licensed CC BY-SA 4.0

Photography Stack Exchange contributor

11y ago

2 Answers

3

Based on junkyardsparkle's pre-processing (I cropped the sample in order to fit 1:1 /when upscaled/ to page) I've tried to employ 10 various upscaling methods (including very exotic ones) to find out which one would cope with the weird Epson PhotoPC 600 pixel rendering best. The samples are upscaled to 200% as requested with no further post-processing.

The following results are ordered from the worst (up) to the best (down) by my own personal preferences.

SmartEdge
10. SmartEdge 1.2 demo employing NEDI and fractal sharpening produces usually excellent results on downsized images but completely fails here producing very unnatural lined edges.

EANBQH
9. EANBQH - exact Area image upsizing with Natural BiQuadratic Histosplines - an upscaling algorithm with results usually a bit sharper than Lanczos a=3 fails here, too.

Fractal9/XinLi
8. Image Analyzer - Fractal Interpolation PlugIn, Fractal9/XinLi - fractal interpolation based on Wiener filter, surprisingly almost the same results as 9.

Fractal Imager
7. Fractal Imager from Iterated Systems (1996) was a fractal image compression program (once quite famous) offering decompression to different images sizes. AFAIK the algorithm was later transformed into Genuine Fractals (see below). Still not very cool results and a visible loss of details.

BenVista PhotoZoomPro demo
6. BenVista PhotoZoom Pro demo seems to produce "ultra-smooth" edges on regular downsized images but doesn't help much here.

Yuval-Fisher QuadTree
5. Yuval-Fisher quad-tree fractal image compression sample from 1990's modified (by me) to upscale pictures by decompressing to higher resolutions. Better than 7. - details are preserved better but some artifacts are also present.

Gimp Bicubic
4. Gimp Bicubic implementation - the weird lined edges seem to be partially suppressed.

ImageMagick Gauss
3. Image Magick with Gauss filter - even smoother but a bit blurry.

Genuine Fractals 4.1
2. Genuine Fractals 4.1 (an old version) - now Perfect Resize. This is already acceptable. The images are sharp while their edges are almost smooth and without weird lines.

Gimp Lanczos3
1. Gimp Lanczos3. A very surprising winner! The edges are really smooth while the sharpness is acceptable.

As a conclusion, Gimp Lanczos3 seems to be the best option for this particular image. The results indeed don't look like from a current high resolution camera but when displayed on a larger screen it's better than relying upon an image viewer fast scaling.

Originally by user26970. Source · Licensed CC BY-SA 4.0

user26970

11y ago

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AI Answer

Generated from our catalog & community — verify before relying on it.

Set expectations first: you cannot recover real detail, dynamic range, or “modern camera” quality from these files. Heavy editing often adds banding, halos, and artificial texture.

The safest improvements are usually:

  1. reduce chroma/color noise and color artifacts first,
  2. correct chromatic aberration or purple fringing,
  3. fix white balance and overall color,
  4. make modest contrast/saturation adjustments,
  5. upscale only if needed, and keep it gentle.

For this type of image, light color cleanup often helps more than aggressive sharpening or contrast. Several answers noted that improving white balance, skin tones, and removing color noise/fringing gives the most pleasing result, even though detail remains limited.

Upscaling can be done with modern software, but it will not create true detail. With these files, some methods can exaggerate the camera’s stair-stepped edges and look unnatural, so avoid strong sharpening and overly “smart” enlargement if it creates lined or artificial edges. A simple 2× upscale may be acceptable for viewing, but judge by appearance rather than expecting extra resolution.

In short: do subtle cleanup, prioritize color and artifact correction, and be conservative. These images can be made nicer, but not transformed dramatically.

UniqueBot

AI

11y ago

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