A Study on a New Principle of Image Compression

图像压缩新原理的研究

基本信息

批准号：
07455159
负责人：
TANIMOTO Masayuki
金额：
$ 4.8万
依托单位：
Nagoya University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B)
财政年份：
1995
资助国家：
日本
起止时间：
1995 至 1996
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-07455159/
关键词：
image compression pseudo-image signal hybrid image signal amplitude spectrum phase spectrum shape information variable shape arbitrary shape ARモデル自己相関特性電力スペクトル

项目摘要

Main results obtained in the research are listed below.(i) A new image generation model, Modified AR model, was developed to approximate the amplitude characteristic of real image signals well.(ii) Conventional coding schemes such as DCT,DPCM,and fractal coding show almost the same compression performance to pseudo-image signals generated by using (i) as to the real image signals.(iii) A spectrum exchange method to generate hybrid image signals was proposed, where amplitude spectrum or phase spectrum of the real image signal is exchanged to that of the pseudo-image signal.(iv) Compression experiment of a variety of hybrid image signals generated with the technique of (iii) shows that only the information of the amplitude spectrum is used and phase information is not used for compression by DCT,DPCM,and fractal coding.(v) It is made clear that shape information which characterizes an image is included in the phase spectrum that is not used in conventional coding schemes.(vi) It is strongly desired to introduce a direct use of the phase information, that is, shape information into image compression schemes.(vii) As one of the image compression schemes to use shape information directly, a new, variable shape fractal coding scheme that integrates small basic blocks to form a range block adjusted to the shape was proposed.(viii) The above scheme achieves the improvement of compression performance by approximating the shape more efficiently and accurately.(ix) As the second scheme that uses the shape information effectively, an arbitrary shape DCT scheme is proposed.(x) A great improvement of compression performance is obtained by the DCT-based arbitrary shape coding scheme.

在下面列出了研究中获得的主要结果。（i）开发了一种新的图像生成模型，以近似近似于真实图像信号的幅度特征。（ii）传统的编码方案（例如DCT，dpcm和分形编码）等传统的编码方案几乎显示出与使用（II）的hymim Image Sigemie and Imimie Sigess的相同的压缩性能。提出了图像信号，其中将真实图像信号的振幅频谱或相光谱交换到伪图像信号的幅度。（iv）（iv）通过（iii）技术生成的多种杂种图像信号的压缩实验（III）的技术显示，仅使用幅度谱的信息，并将相位信息用于dep code and iS dpcm dpcm，and dpcm dpcm dpcm，and dcm，dcm defrage and dpcm，and dcm，d d c.在常规编码方案中不使用图像的形状信息。（vi）直接使用阶段信息，即，将图形信息（即形成图像压缩方案）直接使用。（vii）将图形信息形成。（vii）作为图像压缩方案之一，将图像压缩方案作为一种直接使用形状的图像，以使形状范围直接用于形状，以整合形状，以整合形状，以整合形状。提议。（viii）上述方案通过更有效，准确地近似形状来改善压缩性能。（IX）作为第二种有效使用形状信息的方案，提出了任意形状DCT方案。（x）通过基于DCT的基于DCT的任意形状编码方案获得了重大改进的压缩性能。