4th IEEE International Symposium on Electronic Design, Test and Applications (delta 2008)
FPGA Implementation of a Predictive Vector Quantization Image Compression Algorithm for Image Sensor Applications
January 23-January 25
ISBN: 978-0-7695-3110-6
This paper presents a hybrid image compressionscheme based on a block based compression algorithm referred to as Vector Quantization (VQ) combined with the Differential Pulse Code Modulation (DPCM) technique. The proposed image compression technique called the PVQ scheme results in enhanced image quality as compared to the standalone VQ. The generated codebooks for the PVQ scheme are more robust for image coding than that of the VQ. This made our system a suitable candidate for developing on chip image sensor with integrated data compression processor. The proposed system was validated through FPGA imlementation. The resulting implementation achieved good compression and image quality with moderate system complexity.
Index Terms:
Vector Quantization, Predictive Vector Quantization, FPGA
Citation:
Yan Wang, Amine Bermak, Abdesselam Bouzerdoum, Brian Ng, "FPGA Implementation of a Predictive Vector Quantization Image Compression Algorithm for Image Sensor Applications," delta, pp.431-434, 4th IEEE International Symposium on Electronic Design, Test and Applications (delta 2008), 2008