A new still image coding method based on ICA and DCT for preservation of local feature

DOI
  • KAWAMURA Kazuya
    Graduate Schoolof Software and Information Science, Iwate Prefectural University
  • KAMEDA Masashi
    Graduate Schoolof Software and Information Science, Iwate Prefectural University

Bibliographic Information

Other Title
  • 局所的特徴の保存に着目したICAとDCTの組み合わせによる新たな静止画像符号化方式

Abstract

DCT(discrete cosine transform) in JPEG is the one of effective image coding methods based on the orthogonal transform with the energy compaction. However, visual quality of the encoded image is deteriorated in the edge region when the data compression ratio is higher. Independent component analysis (ICA) can obtain a set of basis which corresponding to the structural feature of the input image, and image coding method using ICA has been proposed by focusing the sparseness in the ICA coefficients. In the previous method ICA has the problem of the coding performance that more bitrate is required at the gradation region compared with the edge region in the input image. This paper presents a new image coding method using both ICA and DCT based on the image segmentation.

Journal

Keywords

Details 詳細情報について

  • CRID
    1390564238096794752
  • NII Article ID
    130007629361
  • DOI
    10.11371/wiieej.14.01.0_25
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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