NDLI: An efficient codec of 2D adaptive directional lifting based on CDF9/7 with improved SPIHT algorithm for lossy to lossless image coding

Content Provider	IEEE Xplore Digital Library
Author	Dabhole, S.H. Jadhav, S.T.
Copyright Year	2015
Description	Author affiliation: Electron. & Commun. Dept., AISECT Univ., Raisen, India (Dabhole, S.H.; Jadhav, S.T.)
Abstract	Lifting is an efficient algorithm to implement the discrete wavelet transform in order to overcome the drawbacks of the conventional wavelet transform that does not provide a compact representation of edges which are not in horizontal and vertical directions. The lifting scheme provides a general and flexible tool for the construction of wavelet decompositions and perfect reconstruction filter banks. It has been adopted in JPEG 2000. The paper follows this research line, improved SPIHT based on adaptive coding becomes analyzed and tuned with two dimensional Adaptive Directional Lifting based on CDF 9/7 has structured for lossy to lossless JPEG 2000 image coding. The proposed 2D-ADL scheme incorporates the directionally spatial prediction into the conventional lifting based on 9/7 wavelet transform and forms a novel, efficient and flexible lifting structure with proposed scaling coefficients. In order to obtain better compression on image edge, an improved Set Partitioning In Hierarchical Trees (ASPIHT) algorithm based on prior scanning the coefficients around which there were more significant coefficients was replaced with conventional SPIHT. Although, the proposed 2D-ADL based on CDF9/7 scheme followed by ASPIHT codec significantly reduce edge artifacts and ringing and outperforms the conventional 1D lifting scheme followed by SPIHT upto 12dB as reported.
Starting Page	84
Ending Page	91
File Size	540200
Page Count	8
File Format	PDF
e-ISBN	9781479972258
DOI	10.1109/ECS.2015.7125031
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-02-26
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	JPEG 2000 Codecs Compression PSNR Filter banks Discrete wavelet transforms Adaptive Directional Lifting Image Coding SPIHT Image coding CDF 9/7 Finite impulse response filters ASPIHT MSE
Content Type	Text
Resource Type	Article

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