Design of high-resolution quantization scheme with exp-Golomb code applied to compression of special images

Abstract

For the compression of special image, such as medical image and aerial image, the reconstructed image quality is of utmost importance in the performance analysis. In this paper, a high-resolution quantization scheme based on the exp-Golomb code is proposed, aiming at improving the reconstructed image quality and realizing high-resolution near-lossless compression. Rather than quantizing the whole image uniformly, which adopted by most popular quantization schemes, an adaptive quantizer with smaller distortion is designed. Both the quantization step size and the quantization proportion are determined adaptively. Compression algorithms based on our adaptive quantizer can provide better reconstructed image quality, and the high frequency information of the image, such as texture and edge, can be better preserved.