Quality Improvement of Re-sampling for the Geometric Image Conversion

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Other Title
  • 幾何学的画像変換のためのリサンプリング処理の高画質化(学生・若手発表および一般)
  • 幾何学的画像変換のためのリサンプリング処理の高画質化
  • キカガクテキ ガゾウ ヘンカン ノ タメ ノ リサンプリング ショリ ノ コウガシツカ

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Abstract

In re-size (scaling) of a picture, quality up processing which are called super resolution have been studied. We have discussed a method of directional adaptive processing to reduce jaggy and ringing. On the other hand, geometric image conversion such as affine transform is one of re-size processing which have different magnification scale in a pixel. However, some super resolution methods are not suitable to this processing. At first, we discuss a hybrid re-sampling which uses a high order filter and a linear interpolation to balance the spatial frequency and flexibility. Next, pre-filtering is discussed to reduce alias component in size deduction. Finally, we apply a directional adaptive processing for the geometric image conversion to reduce jaggy. As results of experiments, it was recognized that the proposed method gives better PSNR and subjective picture quality.

Journal

  • ITE Technical Report

    ITE Technical Report 38.8 (0), 5-8, 2014

    The Institute of Image Information and Television Engineers

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