e178-L13.ppt

e178-L13.ppt - Image Compression-II 1 IMAGE COMPRESSION-II...

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Unformatted text preview: Image Compression-II 1 IMAGE COMPRESSION-II Week IX Image Compression-II 2 IMAGE COMPRESSION Data redundancy Self-information and Entropy Error-free and lossy compression Huffman coding Predictive coding Transform coding Image Compression-II 3 Data Redundancy CODING : Fewer bits to represent frequent symbols. INTERPIXEL / INTERFRAME : Neighboring pixels have similar values. PSYCHOVISUAL : Human visual system can not simultaneously distinguish all colors. Image Compression-II 4 L l r p r A avg k k L r k = = ( ) ( ) ( ) 1 Coding Redundancy (contd.) Consider equation (A): It makes sense to assign fewer bits to those r k for which p r (r k ) are large in order to reduce the sum. this achieves data compression and results in a variable length code. More probable gray levels will have fewer # of bits. Image Compression-II 5 General Model General compression model Channel Channel encoder Source encoder Channel decoder Source decoder Source encoder f(x,y) Mapper Quantizer Symbol encoder...
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This note was uploaded on 12/28/2011 for the course ECE 178 taught by Professor Manjunath during the Fall '08 term at UCSB.

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e178-L13.ppt - Image Compression-II 1 IMAGE COMPRESSION-II...

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