Four-dimensional image compression with region of interest based on non-separable double lifting integer wavelet transform

Fairoza Amira Hamzah, Taichi Yoshida, M. Iwahashi
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引用次数: 1

Abstract

This paper increases the coding performance for four-dimensional (4D) image based on the region of interest (ROI) coding implemented in the non-separable double lifting structure of 4D integer wavelet transform (WT). The WT has succeeded its predecessor, the discrete cosine transform (DCT), which has been widely used in image compression international standard, the JPEG 2000 since more than a decade ago. The conventional lifting structure which is known as the separable structure has many rounding operators that will increase the rounding noise inside the transform. The higher the rounding noise inside the transform, the lower the coding performance. Thus, a non-separable structure of double lifting WT is introduced to reduce the rounding noise. The non-separable structure is compatible with the conventional wavelet-based JPEG 2000. Furthermore, an ROI coding based non-separable integer WT is proposed by utilizing both lossy and lossless compression and it was observed that the proposed method increased the coding performance of 4D image.
基于不可分双提升整数小波变换的感兴趣区域四维图像压缩
本文利用四维整数小波变换的不可分双提升结构实现感兴趣区域编码,提高了四维图像的编码性能。小波变换继承了十多年前被广泛应用于图像压缩国际标准JPEG 2000的离散余弦变换(DCT)。传统的升降结构被称为可分离结构,它有许多舍入算子,这将增加变换内部的舍入噪声。变换内的舍入噪声越高,编码性能越低。为此,引入了一种双提升小波的不可分结构来降低舍入噪声。该结构与传统的基于小波的JPEG 2000兼容。在此基础上,结合有损和无损压缩,提出了一种基于ROI编码的不可分整数小波变换,提高了四维图像的编码性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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