Efficient image compression system using a CMOS transform imager

Index reordering;Wavelet;CMOS imager;Vector quantization;Image compression

Lee, Jungwon ; Electrical and Computer Engineering

University:Georgia Institute of Technology

Department:Electrical and Computer Engineering

关键词: Index reordering;    Wavelet;    CMOS imager;    Vector quantization;    Image compression;   

Others  :  https://smartech.gatech.edu/bitstream/1853/31825/1/lee_jungwon_200912_phd.pdf

美国|英语

来源: SMARTech Repository

【 摘 要 】

This research focuses on the implementation of the efficient image compression system among the many potential applications of a transform imager system. The study includes implementing the imagecompression system using a transform imager, developing a novel image compression algorithm for the system, and improving the performance of the image compression system through efficient encoding and decoding algorithms for vector quantization.A transform imaging system is implemented using a transform imager, and the baseline JPEG compression algorithm is implemented and tested to verify the functionality and performance of thetransform imager system. The computational reduction in digital processing is investigated from two perspectives, algorithmic and implementation. Algorithmically, a novel wavelet-based embedded image compression algorithm using dynamic index reordering vector quantization (DIRVQ) is proposed for the system. DIRVQ makes it possible for the proposed algorithm to achieve superior performance over theembedded zero-tree wavelet (EZW) algorithm and thesuccessive approximation vector quantization (SAVQ) algorithm. However, because DIRVQ requires intensive computational complexity, additional focus is placed on the efficient implementation of DIRVQ, and highly efficient implementation is achieved without a compromise in performance.