Software Engineering White Papers
Honest Image Thumbnails: Algorithm and Subjective Evaluation
Overview Image thumbnails are commonly used for selecting images for display, sharing or printing. Current, standard thumbnails 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. A subjective evaluation using twenty subjects shows the new thumbnails are more representative of their originals for blurry images.
| Publisher | Hewlett-Packard (HP) | File Format | |
|---|---|---|---|
| Date Published | June 2007 | Downloads | 1 |
| Format | White Papers | ||
| Topics | |||
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