直方图零点与图像无损压缩定量关系研究  

Research of quantitative relationship between zero point of histogram and lossless image compression

作　　者：关晨曦 周诠[1] GUAN Chen-xi;ZHOU Quan(National Key Laboratory of Science and Technology on Space Microwave,China Academy of Space Technology(Xi’an),Xi’an 710100,China)

机构地区：[1]中国空间技术研究院西安分院空间微波技术重点实验室,陕西西安710100

出　　处：《电子设计工程》2018年第16期24-28,共5页Electronic Design Engineering

基　　金：国家自然科学基金(61372175)

摘　　要：图像直方图由于其计算代价较小,且具有图像平移、旋转、缩放不变性等众多优点,广泛应用于图像处理的各个领域。直方图能给出该图像的概貌性的描述,是进一步处理的重要依据。文章根据直方图的零点问题提出了一种直方图稀疏度的概念,并将其与直方图收缩的预处理方法结合起来,用常用的无损压缩方法,如jpeg2000、ZIP、RAR等对图像进行无损压缩。实验结果表明直方图稀疏度在0.4以上,使用直方图收缩的预处理方法提高的无损压缩比越高。Because of small computational cost and good invariance under transformation,rotation,scale,histogram technique is widely used in lots of image processing areas.Histogram can show a general limn of the digital image,which is a very important basis for the next transaction.A concept of histogram sparsity is proposed based on the zero point of histogram.And it is combined with the preprocessing method of histogram packing and lossless compression of images using common lossless compression methods,such as JPEG2000,ZIP and RAR.The results show that the histogram sparsity is above 0.4,the imagecan obtain higher compression ratio by using the preprocessing method of histogram packing.

关 键 词：灰度直方图 无损压缩 直方图收缩 稀疏度 

分 类 号：TN919.81[电子电信—通信与信息系统]