Selective data pruning-based compression using high-order edge-directed interpolation

  • Authors:

  • Duñg T. Võ;Joel Solé;Peng Yin;Cristina Gomila;Truong Q. Nguyen

  • Affiliations:

  • Digital Media Solutions Lab, Samsung Information Systems America, Irvine, CA;Thomson Corporate Research, Princeton, NJ;Thomson Corporate Research, Princeton, NJ;Thomson Corporate Research, Princeton, NJ;Department of Electrical and Computer Engineering, University of California at San Diego, La Jolla, CA

  • Venue:
  • IEEE Transactions on Image Processing
  • Year:
  • 2010

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Abstract

This paper proposes a selective data pruning-based compression scheme to improve the rate-distortion relation of compressed images and video sequences. The original frames are pruned to a smaller size before compression. After decoding, they are interpolated back to their original size by an edge-directed interpolation method. The data pruning phase is optimized to obtain the minimal distortion in the interpolation phase. Furthermore, a novel high-order interpolation is proposed to adapt the interpolation to several edge directions in the current frame. This high-order filtering uses more surrounding pixels in the frame than the fourth-order edge-directed method and it is more robust. The algorithm is also considered for multiframe-based interpolation by using spatio-temporally surrounding pixels coming from the previous frame. Simulation results are shown for both image interpolation and coding applications to validate the effectiveness of the proposed methods.