Image compression with directional lifting on separated sections

Jieying Zhu; Nengchao Wang

doi:10.1117/12.752509

14 November 2007 Image compression with directional lifting on separated sections

Jieying Zhu, Nengchao Wang

Proceedings Volume 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 67905I (2007) https://doi.org/10.1117/12.752509
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

A novel image compression scheme is presented that the directional sections are separated and transformed differently from the rest of image. The discrete directions of anisotropic pixels are calculated and then grouped to compact directional sections. One dimensional (1-D) adaptive directional lifting is continuously applied along orientations of direction sections other than applying 1-D wavelet transform alternately in two dimensions for the whole image. For the rest sections, 2-D adaptive lifting filters are applied according to pixels' positions. Our single embedded coding stream can be truncated exactly for any bit rate. Experiments have showed that large coefficients can be significantly reduced along directional sections by our transform which makes energy more compact than traditional wavelet transform. Though rate-distortion (R-D) optimization isn't exploited, the PSNR is still comparable to that of JPEG-2000 with 9/7 filters at high bit rates. And at low bit rates, the visual quality is better than that of JPEG-2000 for along directional sections both blurring and ringing artifacts can be avoided and edge preservation is good.

Citation Download Citation

Jieying Zhu and Nengchao Wang "Image compression with directional lifting on separated sections", Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67905I (14 November 2007); https://doi.org/10.1117/12.752509

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KEYWORDS

Image filtering

Optical filters

Image compression

Digital filtering

Discrete wavelet transforms

Image segmentation

Wavelet transforms

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