A Novel Method for Image Lossy Compression Convenient for Hardware Implementation
Sha Li · Optics & Optoelectronic Technology · 2010
After the DWT of the original image data, and according the similarity between the band shown by subband coefficients in the space and the direction, the collection of pixels is redefined as set tree. Through selecting the parameters K of DC coefficients quantization coding and AC bit depth encoding and choosing the code method of 3-bit words (choicel) or 4- bit words (choice2) in entropy coding implementation the data progressiveness coding, these code streams have embedded feature, then any code streams can be truncated and decoded, and the code rate can be controlled efficiently. A low complexity, easy for hardware implementation of image lossy compression algorithm is presented. The results prove that the quality of the reconstructed image is improved.