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

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  • KAWAMURA Kazuya
    Graduate School of Software and Information Science, Iwate Prefectural University
  • KAMEDA Masashi
    Graduate School of Software and Information Science, Iwate Prefectural University

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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
  • キョクショテキ トクチョウ ノ ホゾン ニ チャクモク シタ ICA ト DCT ノ クミアワセ ニ ヨル アラタ ナ セイシ ガゾウ フゴウカ ホウシキ
  • SIFT特徴量を活用したひずみのあるQRコード画像認識システムの開発研究
  • SIFT トクチョウリョウ オ カツヨウ シタ ヒズミ ノ アル QR コード ガゾウ ニンシキ システム ノ カイハツ ケンキュウ

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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

  • ITE Technical Report

    ITE Technical Report 38.33 (0), 25-28, 2014

    The Institute of Image Information and Television Engineers

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