JOURNAL ARTICLE
Image compression algorithm using local edge detection
Abstract
An algorithm to improve block truncation coding for image compression is proposed. Images to be compressed are first differentiated and edge information is extracted by investigation of the histogram of small nonoverlapping blocks of the differential image. The image is classified into visually active and visually continuous blocks which are then coded individually.
Keywords:
Block Truncation Coding Artificial intelligence Computer science Computer vision Histogram Data compression Color Cell Compression Image compression Edge detection Enhanced Data Rates for GSM Evolution Pattern recognition (psychology) Algorithm Image (mathematics) Image processing
Metrics
8
Cited By
0.00
FWCI (Field Weighted Citation Impact)
6
Refs
0.17
Citation Normalized Percentile
Is in top 1%
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Citation History
Topics
Advanced Data Compression Techniques
Physical Sciences → Computer Science → Computer Vision and Pattern Recognition
Advanced Vision and Imaging
Physical Sciences → Computer Science → Computer Vision and Pattern Recognition
Advanced Image Processing Techniques
Physical Sciences → Computer Science → Computer Vision and Pattern Recognition
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