NDLI: Direction-adaptive hierarchical decomposition for image coding

Content Provider	IEEE Xplore Digital Library
Author	Murakami, T. Takahashi, K. Naemura, T.
Copyright Year	2010
Description	Author affiliation: Graduate School of Information Science and Technology, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8656, Japan (Murakami, T.; Takahashi, K.; Naemura, T.)
Abstract	A new model of decomposing an image hierarchically into direction-adaptive subbands using pixel-wise direction estimation is presented. For each decomposing operation, an input image is divided into two parts: a base image subsampled from the input image and subband components. The subband components consist of residuals of estimating the pixels skipped through the subsampling, which ensures the invertibility of the decomposition. The estimation is performed in a direction-adaptive way, whose optimal direction is determined by a L1 norm criterion for each pixel, aiming to achieve good energy compaction that is suitable for image coding. Furthermore, since the L1 norms are obtained from the base image alone, we do not need to retain the directional information explicitly, which is another advantage of our model. Experimental results show that the proposed model can achieve lower entropy than conventional Haar or D5/3 discrete wavelet transform in case of lossless coding.
Starting Page	570
Ending Page	573
File Size	305857
Page Count	4
File Format	PDF
ISBN	9781424471348
e-ISBN	9781424471355
DOI	10.1109/PCS.2010.5702566
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-08
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image coding directional transform Image edge detection Transforms Entropy Image decomposition L1 norm directional prediction image coding Pixel Image reconstruction image decomposition
Content Type	Text
Resource Type	Article

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