一种基于空间累进预测的图像编码算法  

Spatially progressive prediction based image compression scheme

作　　者：卢正鼎[1] 许铁军[1] 董泽锋[1] 

机构地区：[1]华中科技大学计算机科学与技术学院,湖北武汉430074

出　　处：《华中科技大学学报（自然科学版）》2005年第4期20-22,共3页Journal of Huazhong University of Science and Technology(Natural Science Edition)

基　　金：国家自然科学基金资助项目(60273075).

摘　　要：提出一种结合空间层次累进的预测编码方法,在预测过程中能够利用被预测像素的四周像素对其进行预测.通过构建层次结构图来将图像中的像素划分等级,根据层次等级不同依次进行预测,预测过程中采用实时处理的思想,以减少对内存的需求.根据不同等级像素重要性不同的特性,采用改进的嵌入零树小波编码方法对预测结果进行多阈值量化.实验结果表明,方法计算简单,内存要求小,性能优于JPEG ,在实时和无线多媒体等计算能力较弱的环境中尤为适用.In this paper, a new image compression scheme of progressively spatial prediction was proposed, pixels around the predicted pixel could all be used. Pixels of an image were divided into different levels, and predicted according to their levels. In-place processing was used in the process of prediction to lessen the requirement of memory. Considering pixels of different levels have different significance, we utilize improved embedded zerotree wavelet (EZW) to get multilevel thresholds quantization. Experimental simulations show that our scheme have following features: simple computation, less memory requirement, and better performance than JPEG. It is especially applicable to limited computation power environments such as real-time and wireless multimedia.

关 键 词：图像编码算法 预测编码 层次累进 嵌入零树小波编码 多阈值量化 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]