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
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Application No.: US12962638Application Date: 2010-12-07
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Publication No.: US08483500B2Publication Date: 2013-07-09
- Inventor: Thai-Ha Nguyen , Ali Tabatabai
- Applicant: Thai-Ha Nguyen , Ali 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

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.
Public/Granted literature
- US20120057799A1 RUN LENGTH CODING WITH CONTEXT MODEL FOR IMAGE COMPRESSION USING SPARSE DICTIONARIES Public/Granted day:2012-03-08
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