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A Description of Content Based Image Retrieval using from Block Truncation Coding and Image Content Description

Affiliations

  • Sathyabama University, Chennai, India
  • Department of CSE, Sathyabama University, Chennai, India

Abstract


Background: The paper provides framework description for survey of content based image recovery framework block truncation coding for image content description. Methods and Statistical Analysis: The technique of content based image recovery framework by exploiting low level complexity image and block truncation coding is one of lossy picture pressure technique for grayscales image. Findings: And here proposes a idea of content based picture recovery utilizing block truncation coding for image content description using Content Based Image Retrieval (CBIR) algorithm and image content description is content-based indexing and recovery of pictures are make necessary semantic portrayal for picture content description of mapping from low-level to abnormal state picture application specifics. Applications/Improvement: content based image recovery framework method improves the performance of the existing method

Keywords

CBIR Methodology, Content Based Image, Image Retrieval System, Lossy Image Compression, Semantic Description of Image.

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