It is widely supposed that things tend to look blurred when they are moving fast. Previous work has shown that this is true for sharp edges but, paradoxically, blurred edges look sharper when they are moving than when stationary. This is 'motion sharpening'. We show that blurred edges also look up to 50% sharper when they are presented briefly (8-24 ms) than at longer durations (100-500 ms) wit...

The GNU Image Manipulation Program, commonly abbreviated as “the Gimp,” is a free, open-source image editing program. Many photo restoration techniques exist to enhance images by making them clearer. This project focused on automating a powerful, yet complicated, method called “smart” sharpening. To accomplish this, a script was written in the Gimp’s Script-Fu language. After completion of the ...

Conventional techniques for image sharpening tend to introduce artifacts around edges producing a ringing effect. In this paper we propose a technique based on local derivatives to produce signature preserving sharpening. The performance of the technique is evaluated on synthetic imagery and remote sensing imagery. It is found that applying the technique in an iterative manner on zoomed imagery...

In this paper we use multiscale characteristics of wavelet decompositions and their relationship to smoothness spaces such as Besov spaces to derive a framework for smoothing and sharpening of signals and images. As a result, we derive a multiscale generalization of traditional techniques, such as unsharp masking, while using the smoothness parameter α in the Besov space Bα q (L p) to provide a...