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- Title
A COST AND POWER EFFICIENT MEDICAL IMAGE COMPRESSOR VLSI DESIGN WITH FUZZY DECISION AND BLOCK PARTITION FOR WIRELESS SENSOR NETWORKS.
- Authors
Venkateshwarlu, Ch.; Ramyasri, Kondapuram; Avanthi, Konyala; Ruchitha, Kunta; Jaya, Macharla
- Abstract
This paper presents a novel hardware-oriented image compression algorithm and its very large-scale integration (VLSI) implementation for wireless sensor networks. The proposed novel image compression algorithm consists of a fuzzy decision, block partition, digital halftoning, and block truncation coding (BTC) techniques. A novel variable-size block partition technique was used in the proposed algorithm to improve image quality and compression performance. In addition, eight different types of blocks were encoded by Huffman coding according to probability to increase the compression ratio further. In order to achieve the low-cost and low-power characteristics, a novel iteration-based BTC training module was created to get representative levels and meet the requirement of wireless sensor networks. A prediction and a modified Golomb-Rice coding modules were designed to encode the information of representative levels to achieve higher compression performance.
- Subjects
WIRELESS sensor networks; IMAGE compression; ELECTRICITY pricing; HUFFMAN codes; VERY large scale circuit integration
- Publication
Journal of Cardiovascular Disease Research (Journal of Cardiovascular Disease Research), 2023, Vol 14, Issue 7, p657
- ISSN
0975-3583
- Publication type
Article