: While lattice vector quantization (LVQ) can solve the complexity problem of LBG based vector quantizers, and also yield very general codebooks, a single stage lattice VQ, when ap...
As a key part of universal source coding, context quantization is very important for improving compression performance. However, in most existing methods, the quantizer is trained...
We investigate the effect of network errors on Embedded Zerotree Wavelet (EZW) encoded images and propose modifications to the EZW coder to increase error resilience in bursty pac...
Shahab Baqai, Farhan A. Baqai, Usman Hameed, Sohai...
Compression with Reversible Embedded Wavelets (CREW) is a uni ed lossless and lossy continuous-tone still image compression system. It is wavelet-based using a \reversible" a...
A. Zandi, James D. Allen, Edward L. Schwartz, Mart...
We combine multiple description (MD) quantization, entropy coding, and data partitioning to improve the error resiliency of images over varying packet loss channels. Our proposed ...