I ran across a university site in Israel a decade or so ago. Technion was ahead of its time, at least the computer science department. Among subjects, explored there, was super resolution. Take a low resolution image and apply processing to get a larger image with the same level of detail., My first instinct was that the task was impossible. You would hasve to manufacture information. The detail in a larger image does not exist, in reality. Technion scientists had studied the problem and developed an approach. This was in March of 2003. I recently ran across some work being done in the area of neural networks that expands the field. A paper on SRGAN, images/videos and super resolution attracted my attention. SRGAN is:Super Resolution with Genrative Adversarial Networks. This approach is very effective, though some failings in color occur. Structure and form are well done and the manufac...
I've become aware of widespread disinformation on HDR. Reviewers of video products and software make claims based on an incomplete and faulty understanding of HDR. HDR does this, HDR does that, HDR will do this and that. Many such people do not understand the difference between an HDR image and the compressor that makes the image viewable and printable. The HDR is the attempted storage of an aspect of 'reality'. This 'reality' is too much for computer displays and printers so someone writes compression software to make the HDR acceptable, i.e., viewable on monitors and printable on printers. There are an infinite number of ways to do this. The HDR image you see and like so much may have been compressed by a different method than the same HDR another person may see, resulting in two visually different images. This boils down to a matter of interpretation. Much of what is being attributed to HDR images is really the effe...
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