Invention Grant
US08483500B2 Run length coding with context model for image compression using sparse dictionaries 失效
使用稀疏词典进行图像压缩的上下文模型的运行长度编码

  • Patent Title: Run length coding with context model for image compression using sparse dictionaries
  • Patent Title (中): 使用稀疏词典进行图像压缩的上下文模型的运行长度编码
  • Application No.: US12962638
    Application Date: 2010-12-07
  • Publication No.: US08483500B2
    Publication Date: 2013-07-09
  • Inventor: Thai-Ha NguyenAli Tabatabai
  • Applicant: Thai-Ha NguyenAli Tabatabai
  • Applicant Address: JP Tokyo
  • Assignee: Sony Corporation
  • Current Assignee: Sony Corporation
  • Current Assignee Address: JP Tokyo
  • Agent John P. O'Banion
  • Main IPC: G06K9/36
  • IPC: G06K9/36 G06K9/46
Run length coding with context model for image compression using sparse dictionaries
Abstract:
Apparatus and methods for coding images geometric vector quantization (GVQ) having an over-complete dictionary which produces a sparse vector of coefficients as it contains large runs of zeros. The sparse encoding is particularly well suited for use with run-length entropy coding techniques. Image blocks are sparse coded using GVQ, with the vector of coefficients converted to RUN-LENGTH symbols, and binarized into a set of binary symbols. At least a portion of the binary symbols are used as contexts which can be selected when performing binary arithmetic coding of the binary coded RUN and LENGTH data to generate a bit stream containing the encoded image that provides enhanced compression.
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