Very low bit rate color image compression by using stack-run-end coding
IEEE transactions on consumer electronics
A low complexity wavelet based image coding algorithm for color image compression i s presented in this papcr. The key re~~ovatioti of this algorithm i s that a small number ol symbol set was designcd to convert thc information from the wavclet transform domain into a compact data structure for each suhband. The scheme works first by color space conversion, followed by uniform scalar quantization arid data collver~ion whcrc raster scanning ordcr i s performed for individual subband and
... ubband and quantized coefficients are converted into the symbol stream ticcording to the dcsifned symbol representation. Two different context lists in each subband are specified rrom the symhol stream and alternalively compressed hy adaptive arithmelic codcr with high efficiency. (lolike zerotree coding or its variations which ulilix the intersubband relationship into i t s own data representation. our work i s a low complexity intrasubband hased coding [method which only addresses the information within the subband. The only extension i s the termination symbols which carry the zcro value information towards the end of the sobband or across the subbands t i l l the clid of the image. Compared with the zcrntrcc relined schemes, this algorithm rcsults in competitive PSNR values and perccptually high quality images at thc same cotnprcssion ratio for color image compression.