Two-layer and Adaptive Entropy Coding Algorithms for H.264-based Lossless Image Coding

Abstract

In this paper, we propose two-layer coding algorithm to improve the performance of the H.264-based lossless (H.264-LS) image coding. From universal access point of view, the proposed method is based on the H.264 lossy image coding with other CABAC layer to compensate the lossy portion. Besides, the H.264-LS with DPCM (H.264-LS_DPCM) and H.264-LS achieve different coding performance in use of CABAC and CAVLC entropy coders without the DCT and quantization. We further suggest an adaptive entropy coding (AEC) algorithm to determine the best entropy coder by using the image content variations, which is calculated from the sum of absolute difference of intra prediction. Simulation results show that the proposed AEC method have good correct detection rates and improvement of compression rate for H.264-LS and H.264-LS_DPCM coders. The two-layer H.264-LS almost have the same compression rate than the H.264-LS_DPCM.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2008
Accession Number
ADA504514

Entities

People

  • Fu-chun Yang
  • Jar-ferr Yang
  • Jiun-yu Chen
  • Jun-ren Ding

Organizations

  • National Cheng Kung University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Coders
  • Coding
  • Compression
  • Computational Complexity
  • Computer Programming
  • Detection
  • Differential Pulse Code Modulation
  • Electrical Engineering
  • Engineering
  • Image Compression
  • Numbers
  • Pulse Code Modulation
  • Residuals
  • Signal Processing
  • Simulations

Fields of Study

  • Computer science

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Computer Programming and Software Development.
  • Image Processing and Computer Vision.