Multispectral image compression for spectral and color reproduction based on lossy to lossless coding
Multispectral image compression for spectral and color reproduction based on lossy to lossless coding
复制标题
基于有损到无损编码的多光谱图像压缩，用于光谱和颜色再现
DOI：
10.1117/12.838843
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发表时间：
2010
期刊：
影响因子：
--
通讯作者：
N. Ohyama
中科院分区：
文献类型：
--
作者：
Kazuma Shinoda;Y. Murakami;Masahiro Yamaguchi;N. Ohyama
本文提出了一种基于有损到无损编码的多光谱图像压缩方法，适用于光谱图像和彩色图像的复制。该方法将多光谱图像数据分为RGB和残差两组。例如，通过使用XYZ颜色匹配函数、颜色转换矩阵和伽马曲线从多光谱图像中提取RGB分量。从RGB数据编码器估计原始多光谱图像，并在编码器中计算原始多光谱图像与估计的多光谱图像之间的差，在本文中称为残差分量。然后分别用JPEG2000对RGB和残差分量进行编码，从无损编码的码流中进行渐进解码是可能的。实验结果表明，虽然该方法在低码率下的频谱域的率失真曲线图上略逊于多分量变换的JPEG2000，但在低码率下对RGB分量进行初级编码后，解码后的RGB图像具有较高的质量。其无损压缩比接近整数KLT的JPEG2000压缩比。
In this paper we propose a multispectral image compression based on lossy to lossless coding, suitable for both spectral and color reproduction. The proposed method divides a multispectral image data into two groups, RGB and residual. The RGB component is extracted from the multispectral image, for example, by using the XYZ Color Matching Functions, a color conversion matrix, and a gamma curve. The original multispectral image is estimated from RGB data encoder, and the difference between the original and the estimated multispectral images, referred as a residual component in this paper, is calculated in the encoder. Then the RGB and the residual components are encoded by JPEG2000, respectively a progressive decoding is possible from the losslessly encoded code-stream. Experimental results show that, although the proposed method is slightly inferior to JPEG2000 with a multicomponent transform in rate-distortion plot of the spectrum domain at low bit rate, a decoded RGB image shows high quality at low bit rate with primary encoding of the RGB component. Its lossless compression ratio is close to that of JPEG2000 with the integer KLT.