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Architecture of a Digital Pixel Sensor Array with Tile-Based Vector Quantization Image Compression Algorithm

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2 Author(s)

In this paper, an improved tile-based vector quantization (VQ) algorithm used for image compression application integrated along with a digital pixel sensor (DPS) array is proposed. The proposed technique is based on a tile-based compression of the original image, enabling an easy implementation of vector quantization. Furthermore, tile-based design reduces the accumulation of error inherent in DPCM type of processing. Simulation results show that the compression rate, which is measured by bit-per-pixel (BPP), can be as low as 0.28BPP, with PSNR result around 20dB.

Published in:

Digital Image Computing Techniques and Applications, 9th Biennial Conference of the Australian Pattern Recognition Society on

Date of Conference:

3-5 Dec. 2007