It's all in the detail: Impressive new approach to super-resolution processing developed

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Picture of a hall - the left half has been sharpened using bicubic intrpolation, while the right half is from the Weizmann super-resolution algorithms (Photo: Weizmann Institute of Science)

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Picture of a fractal mosque - the left half has been sharpened using bicubic intrpolation, while the right half is from the Weizmann super-resolution algorithms (Photo: Weizmann Institute of Science)

Picture of a integrated circuit chip - the left half has been sharpened using bicubic intrpolation, while the right half is from the Weizmann super-resolution algorithms (Photo: Weizmann Institute of Science)

Picture of an insect - the top half has been sharpened using bicubic intrpolation, while the bottom half is from the Weizmann super-resolution algorithms (Photo: Weizmann Institute of Science)

Picture of a koala - the left half has been sharpened using bicubic intrpolation, while the right half is from the Weizmann super-resolution algorithms (Photo: Weizmann Institute of Science)

One approach to super-resolution is to merge several photographs whose images are misaligned by less than a pixel relative to each other (Image: Brian Dodson)

The image was sharpened using bi-cubic interpolation on the left, and a super-resolution technique on the right. The SR image shows true details not directly recorded on the original (Photo: Weizmann Institute of Science)

Aliasing produces non-real distortions of digitized images (Photo: C. Burnett)

Folding resulting from aliasing - both a spatial frequency of 10 pixels and of 1.11 pixels produce the same digitized image (Image: Moxfyre)

Picture of an eyechart - the left chart has been sharpened using bicubic intrpolation, while the right chart is from the Weizmann super-resolution algorithms - the center chart is the full-resolution original chart (Photo: Weizmann Institute of Science)

Article Summary

Ever taken a digital photograph and then found out you had missed the fine details that made the scene so impressive visually? Applying a Photoshop sharpen filter may make the photo appear sharper, but such filters are lossy - they actually reduce the amount of fine detail in the image. Until recently, there was very little you could do to improve the image after the shot. That has now changed. Researchers at the Weizmann Institute of Science have developed a super-resolution process which pulls unseen details from the nooks and crannies of a single digital photograph. Their process can capture true detail which cannot be seen in the original image - the next "killer app"?

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