Dual-DCT-Lifting-Based Lapped Transform with Improved Reversible Symmetric Extension Dual-DCT-Lifting-Based Lapped Transform with Improved Reversible Symmetric Extension

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Author(s)

    • SUZUKI Taizo
    • Faculty of Engineering, Information and Systems, University of Tsukuba
    • IKEHARA Masaaki
    • Department of Electronics and Electrical Engineering, Keio University

Abstract

<p>We present a lifting-based lapped transform (L-LT) and a reversible symmetric extension (RSE) in the boundary processing for more effective lossy-to-lossless image coding of data with various qualities from only one piece of lossless compressed data. The proposed dual-DCT-lifting-based LT (D<sup>2</sup>L-LT) parallel processes two <i>identical</i> LTs and consists of 1-D and 2-D DCT-liftings which allow the direct use of a DCT matrix in each lifting coefficient. Since the DCT-lifting can utilize any existing DCT software or hardware, it has great potential for elegant implementations that are dependent on the architecture and DCT algorithm used. In addition, we present an improved RSE (IRSE) that works by recalculating the boundary processing and solves the boundary problem that the DCT-lifting-based L-LT (DL-LT) has. We show that D<sup>2</sup>L-LT with IRSE mostly outperforms conventional L-LTs in lossy-to-lossless image coding.</p>

Journal

  • IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

    IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E100.A(5), 1109-1118, 2017

    The Institute of Electronics, Information and Communication Engineers

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