Paper
27 February 1996 Layered coding of check images using foreground and background segmentation
Author Affiliations +
Proceedings Volume 2727, Visual Communications and Image Processing '96; (1996) https://doi.org/10.1117/12.233320
Event: Visual Communications and Image Processing '96, 1996, Orlando, FL, United States
Abstract
An emerging trend in the banking industry is to digitize the check storage, processing, and transmission process. One bottleneck in this process is the extremely large sizes of digitized checks. A check image is usually comprised of a foreground overlaid on top of a background. For most banking functions, only the foreground carries useful information and should be specified accurately. The background either does not need to be retained, or can be represented with less precisions, depending on the underlying banking requirements and procedures. Recognizing this special characteristic of check images, we propose a layered coding approach. The first layer consists of the binary foreground map. The second layer contains the gray or color values of the foreground pixels. The third layer retains a coarse representation of the background. The fourth layer comprises the error image between the original and the decompressed one from the first three layers. The methods for segmenting the foreground and for coding different layers are presented. The proposed layered coding scheme can yield a more accurate representation of a check image, especially the foreground, than the JPEG baseline algorithm under the same compression ratio. Furthermore, it facilitates progressive retrieval or transmission of check images in compressed formats.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ali Susanto, Yao Wang, and Edward K. Wong "Layered coding of check images using foreground and background segmentation", Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); https://doi.org/10.1117/12.233320
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Cited by 3 scholarly publications.
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KEYWORDS
Image compression

Image segmentation

Image processing

Binary data

Image processing algorithms and systems

Chromium

Detection and tracking algorithms

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