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非均匀并行图像压缩方法研究
Parallel Algorithms For Image Coding Based on Unbalance Segmentation
【摘要】 给出一种基于非均匀分割的并行图象压缩方法。根据灰度值的局部变化把图像分割成不等长的矩形块(block),子块内各点值用矩形顶点值线性插值近似代替。改进了传统图象分割方法[1~3],给出了一种在不降低压缩比条件下的并行分割压缩方法,提高了压缩速度;同时,还给出一种确定分割阀值的新法-累积2乘误差方法,使生成图像的信噪比提高了1~2dB。对于一类图像,该方法压缩效率优于JPEG方法.
【Abstract】 A parallel algorithms has been given for image coding based on unbalance segmentation. Image has been splited into rectangle(sub-block) that is not equal. The greys value of points in sub-block is bordered with vertex interpolation. We improved classical segmentation methods, gived a parallel algorithms and a new methods to assign spliting condition, have got a more speed in image compression and a better quality of reconstructural.
【关键词】 图象压缩;
并行;
适时;
非均匀分割;
【Key words】 Image coding; Parallel algorithms; Real-time; Unbalance image segmentation;
【Key words】 Image coding; Parallel algorithms; Real-time; Unbalance image segmentation;
- 【文献出处】 黑龙江大学自然科学学报 ,JOURNAL OF NATURAL SCIENCE OF HEILONGJIANG UNIVERSITY , 编辑部邮箱 ,1998年04期
- 【分类号】TP391.41
- 【下载频次】42