Laplacian pyramid image data compression

With the growing demand for image processing, efficient image data compression techniques are much needed for image data transmission and storage. Two image data compression techniques based on the Laplacian Pyramids are examined: the Laplacian Pyramid Vector Quantization (LPVQ) and the Laplacian Pyramid Predictive Compression (LPPC). The LPVQ can provide a reduction from 8 bits per pixel (bpp) to 0.45 bpp with negligible degradation in image quality (0.6% rms reconstruction error), as shown in a test image. The LPPC can provide comparable performance with a proper choice of image model. Both techniques thus can be superior to existing transform coding and predictive compression techniques. The problems of additive noise, pre-and post-processing and hardware realization are also considered.