An efficient image representation technique using vector quantization in multiple transform domains
Abbreviated Journal Title
Circuits Syst. Signal Process.
image compression; image coding; image representation; split vector; quantization; multiple transform domains; multiple bases; transform; coding; COMPRESSION; ALGORITHMS; Engineering, Electrical & Electronic
A novel technique for the efficient representation of still images is presented which employs vector quantization in multiple transform domains of the image signal. The system projects the subimages, obtained by partitioning the images used for training, into multiple transform domains. Energy-based split vector quantization is used to form code books in each of these domains. An adaptive algorithm to further optimize the accuracy of the code books in each transform domain is also developed. Simulations using sample images show that this scheme provides improved reconstruction quality over existing methods for the same compression ratios, or equivalently, employing the proposed technique, fewer bits per pixel are used for the same reconstruction quality. This is achieved at the expense of increased computation at the encoder. The benefits from the improved representation efficiency often outweigh the increased computational complexity.
Circuits Systems and Signal Processing
"An efficient image representation technique using vector quantization in multiple transform domains" (2005). Faculty Bibliography 2000s. 5483.