摘要
对误差分散半调图像进行无损压缩所得压缩率较低,而现有二值图像有损压缩算法对该类图像的压缩效果并不理想。为此,结合逆半调技术设计一种有损压缩算法。选用LUT逆半调算法对误差分散半调图像进行灰度化重建,对灰度图像的DCT变换系数量化压缩法进行改进,提高了压缩率,并构建出一种误差分散图像的有损压缩算法。实验结果表明,该算法能获得较高的压缩率和较好的压缩效果。
Lossless compression rate obtained on the error-diffusion image is very low,and the conventional binary image lossy coding techniques can provide bad visual quality on these images,which lead to investigate lossy compression based on the inverse halftone method.A looking up table inverse halftone method is used to convert error-diffusion image back to the contone image.An improved DCT coding algorithm is constructed to get higher compression rate.A lossy compression method of error-diffusion image is proposed.Experimental results show that the proposed algorithm fits to the error-diffusion image,and the quality of the decoding image is well.
出处
《计算机工程》
CAS
CSCD
北大核心
2011年第6期223-224,230,共3页
Computer Engineering
基金
国家部委预研基金资助项目
陕西省教育厅专项科研计划基金资助项目(09JK527)
陕西省自然科学基金资助项目(2010JM8010)
