ADPCM for advanced LANDSAT downlink applications

Remote Sensing Image Compression: A Review

“…The quantized image values are finally entropy encoded with a variable length Huffman code. According to the work in [14], this approach has achieved a lossless CR up to 2.5 and the CR can reach to 5 with the price of slight visual image quality loss on LANDSAT and M-7 high resolution multi-spectral data.…”

“…Brower et al [14] introduced a variant ADPCM algorithm, which consists of a predictor, a quantizer, an encoder and a rate-controller shown in Fig. 2.…”

“…Figure 1. A sketch map of four-pixel DPCM [14] Element X is predicted with information from its surrounding pixels G and F. The most common predictor for DPCM is a simple two-dimensional fixed predictor defined as following:…”

“…2. [14] The adaptive weighting parameters (W1, W2) are set to represent the importance of related pixels. Thus, a 2-D adaptive predictor is defined as:…”

Low-complexity image compression with scalable quality control

“…Several generations of algorithms have been used, including Rice lossless compression 1 , adaptive differential coding 2,3,4 , and more recently, variations on JPEG 5 and JPEG 2000 6,7 . JPEG 2000 offers excellent compression rates, flexible access to the compressed data, and subtle control of image quality tradeoffs.…”