Representative Image Thumbnails for Good Browsing

Abstract

Image thumbnails are commonly used for selecting images for display, sharing or printing. Standard thumbnails, generated with current techniques, do not distinguish between high and low quality originals. Both sharp and blurry originals appear sharp in the thumbnails, and both clean and noisy originals appear clean in the thumbnails. This leads to errors and inefficiencies during image selection. In this paper, thumbnails generated using image analysis better represent the local blur and the noise of the originals. The new thumbnails provide a quick, natural way for users to identify images of good quality, while allowing the viewer's knowledge to select desired subject matter. Computer simulations with added blur and noise show the new thumbnails better represent images of differing qualities. Validation of these findings is found in a subjective evaluation reported elsewhere but summarized below.