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

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.

[1]  Nasser M. Nasrabadi,et al.  Image compression using address-vector quantization , 1990, IEEE Trans. Commun..

[2]  R. Gray,et al.  Product code vector quantizers for waveform and voice coding , 1984 .

[3]  Robert M. Gray,et al.  An Algorithm for Vector Quantizer Design , 1980, IEEE Trans. Commun..

[4]  Thomas R. Fischer,et al.  A pyramid vector quantizer , 1986, IEEE Trans. Inf. Theory.

[5]  David G. Messerschmitt,et al.  Predictive vector quantization , 1984, ICASSP.

[6]  P. Laguna,et al.  Signal Processing , 2002, Yearbook of Medical Informatics.

[7]  Yoshiyuki Matsunaga.  CMOS Image Sensor. , 1998 .

[8]  Wayne E. Stark,et al.  Fine-coarse vector quantization , 1991, IEEE Trans. Signal Process..

[9]  G. Clark,et al.  Reference , 2008 .