摘要
分形图像编码是一种很有前途的压缩技术,但由于其编码时间长、计算复杂性高,因而阻碍了它的广泛应用。作者提出一种基于图像边界特征的分类方法,将搜索空间预先分类后再进行搜索,这样可以减少编码搜索匹配时间,进而缩短编码时间。实验结果证明,该方法可使编码速度有较大提高,而解码图像质量无明显下降。
Fractal image coding is a very promising compression technique. However, it has not been widely used because of its long encoding time and high computational complexity. To speed up the fractal encoder, a classification scheme based on the edge properties of image blocks is proposed. During the encoding process, the range blocks and domain blocks are classed first. Then, each range block is limited to search in the corresponding domain class to find the best match. Experiments prove that this method accelerates the speed of coding and the image quality of decoding dosen’t decline obviously.
出处
《计算机与数字工程》
2007年第11期108-110,共3页
Computer & Digital Engineering
基金
河南省自然科学基金资助(编号:2004924075)项目
河南省科技攻关资助(编号:0524480009)项目
关键词
分形
迭代函数系统
自相似
图像压缩
fractal,iterated function system,self-similarity,image compression
