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Color Correction and Compression for Multi-view Video Using H.264 Features

  • Boxin Shi
  • Yangxi Li
  • Lin Liu
  • Chao Xu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5996)

Abstract

Multi-view video is a new video application requiring efficient coding algorithm to compress the huge data, while the color variations among different viewpoints deteriorate the visual quality of multi-view video. This paper deals with these two problems simultaneously focusing on color. With the spatial block-matching information from multi-view video coding, color annotated images can be produced given gray input in one view and color input in another view. Then the color images are rendered from colorization process. By discarding most of the chrominance information before encoding and restoring them when decoding, this novel scheme can greatly improve the compression rate without much loss in visual quality, while at the same time produce color images with similar appearance to reference without correction.

Keywords

Visual Quality Quantization Parameter Color Correction Color Transfer Histogram Match 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Boxin Shi
    • 1
  • Yangxi Li
    • 1
  • Lin Liu
    • 1
  • Chao Xu
    • 1
  1. 1.Key Laboratory of Machine Perception (Ministry of Education)Peking UniversityBeijingChina

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