Paper
19 May 1999 Focused JPEG encoding based upon automatic preidentified regions of interest
Claudio M. Privitera, Lawrence W. Stark
Author Affiliations +
Proceedings Volume 3644, Human Vision and Electronic Imaging IV; (1999) https://doi.org/10.1117/12.348474
Event: Electronic Imaging '99, 1999, San Jose, CA, United States
Abstract
We have developed a focused-procedure based upon a collection of image processing algorithms that serve to identify regions-of-interest (ROIs), over a digital image. To loci of these ROIs are quantitatively compared with ROIs identified by human eye fixations or glimpses while subjects were looking at the same digital images. The focused- procedure is applied to adjust and adapt the compression ratio over a digital image: - high resolution and poor compression for ROIs; low resolution and strong compression for the major expanse of the entire image. In this way, an overall high compression ratio can be achieved, while at the same time preserving, important visual information within particularly relevant regions of the image. We have bundled the focused-procedures with JPEG, so that the JPEG version allows the result of the compression to be formatted into a file compatible for standard JPEG decoding. Thus, once the image has been compressed, it can be read without difficulty.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Claudio M. Privitera and Lawrence W. Stark "Focused JPEG encoding based upon automatic preidentified regions of interest", Proc. SPIE 3644, Human Vision and Electronic Imaging IV, (19 May 1999); https://doi.org/10.1117/12.348474
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CITATIONS
Cited by 13 scholarly publications.
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KEYWORDS
Image compression

Visualization

Computer programming

Image processing

Digital imaging

Quantization

Eye

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