Optimal Design of Update and Predictions of Adaptive Directional Lifting based on CDF9/7 or SPL 5/3 Forlossy to Lossless Image Compression
Sanjay Hindurao Dabhole1, RichaVerma2

1Mr. Sanjay Hindurao Dabhole, PhD. Scholar, Department of Electronics and Computer Engineering, University Institute of Engineering and Technology, CSJMU, Kanpur (U.P), India.
2Dr. RichaVerma, Department of Electronics and Computer Engineering, University Institute of Engineering and Technology, CSJMU, Kanpur (U.P), India.
Manuscript received on 10 October 2016 | Revised Manuscript received on 20 October 2016 | Manuscript Published on 30 October 2016 | PP: 1-11 | Volume-6 Issue-5, October 2016 | Retrieval Number: D2366096416/16©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In this paper we introduce an adaptive local pdf estimation strategy for the construction of Generalized Lifting (GL) mappings in the wavelet domain. Our approach consists in trying to estimate the local pdf of the wavelet coefficients conditioned to a context formed by neighboring coefficients. To this end, we search in a small causal window for similar contexts. Further, this strategy modified to new adaptive lifting scheme that not only locally adapts the filtering directions to the orientations of image features, but also adapts the lifting filters to the statistic properties of image signal. The proposed approach refines previous adaptive directional lifting-based wavelet transform (ADL) by combining directional lifting and adaptive lifting filters to form a unified framework. The prediction step is designed to minimize the prediction error of the image signal, and the update step is designed to minimize the reconstruction error. Experimental results show that the proposed ADL-based on CDF9/7 or SPL 5/3 wavelet transform for image coding outperforms the conventional lifting-based wavelet transform up to 4.12 dB in PSNR and significant improvement in subjective quality is also observed. Compared with the previous ADL approach, up to 1.08 dB improvement in PSNR is reported.
Keywords: Adaptive Directional Lifting, Cohen– Daubechies–Feauveau 9/7 Generalized Lifting, Spine5/3.

Scope of the Article: Image Security