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  • 标题:Pixel Memory Storage Reduction
  • 本地全文:下载
  • 作者:SALIL BHALLA ; KULWINDER SINGH MONGA ; RAHUL MALHOTRA
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2013
  • 卷号:1
  • 期号:7
  • 出版社:S&S Publications
  • 摘要:An advanced algorithm of online image memory size compression has been introduced in this paper. Thereare 3 parts into which whole process of online image memory size compression is divided. These are 1) Image capture2) Pixel level Image compression 3) Image mapping and storage. A block based compression algorithm is beingproposed in this. The reference pixel that is the brightest pixel value is choosen first of all and then we compare all thepixel values of the block with the pixel value of reference pixel. After that a comparator circuit is being employed sothat in consonance with the proposed mapping the differential values of the successive pixels are further comparedthrough comparator circuit. And then by using the intermediate precision bits selected number of differential values arequantized and calculated. Thus the bits required for on-pixel memory storage are reduced. This enables reduced siliconarea for System on chip. Mentor Graphics’ Design Architect tool is being used to synthesize the algorithm.
  • 关键词:Compressive sensing; Digital pixel sensors (DPSs); Block;Based compression algorithm.
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