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Complementary Metal Oxide Semiconductor Image Sensor

Salil Bhalla, Kulwinder Singh Monga, Rahul Malhotra

In this paper an advanced algorithm of online image memory size compression has been introduced. The whole process of online image memory size compression is divided into 3 steps. These are 1) Image capture 2) Pixel level Image compression 3) Image mapping and storage. A block based compression algorithm is being proposed in this. The brightest pixel value is choosen first of all and then all the pixel values of the block are compared with the pixel value of reference pixel. After that a comparator circuit is being employed so that in consonance with the proposed mapping the differential values of the successive pixels are further compared through comparator circuit. And then selected number of differential values are calculated and quantized using intermediate precision bits. Thus the bits required for on-pixel memory storage are reduced. This enables reduced silicon area for System on chip. Mentor Graphics’ Design Architect tool is being used to synthesize the algorithm.