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Color image interpolation in the DCT domain using a wavelet-based differential value

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Abstract

We propose a new image-interpolation technique using a combination of an adaptive directional wavelet transform (ADWT) and discrete cosine transform (DCT). In the proposed method, we use ADWT to decompose the low-resolution image into different frequency subband images. The high-frequency subband images are further transformed to DCT coefficients, and the zero-padding method is used for interpolation. Simultaneously, the low-frequency subband image is replaced by the original low-resolution image. Finally, we generate the interpolated image by combining the original low-resoultion image and the interpolated subband images by using inverse DWT. Experimental results demonstrate that the proposed algorithm yields better quality images in terms of subjective and objective quality metrics compared to the other methods considered in this paper.

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Authors and Affiliations

  1. School of Electrical Engineering Department, Korea University, 145 Anam-ro, Sungbuk-gu, Seoul, 02841, Republic of Korea

    Moo-Rak Choi & Sung-Jea Ko

  2. Department Informationand Communication Engineering, Chosun University, 375 Seosuk-Dong, Dong-Gu, Gwangju, 501-759, South Korea

    Goo-Rak Kwon

  3. Department of Software, Gachon University, 1342 Seongnamdaero, Sujeonggu, Seongnam, Gyeonggido, 13120, Republic of Korea

    Ramesh Kumar Lama

Authors
  1. Moo-Rak Choi
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  2. Sung-Jea Ko
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  3. Goo-Rak Kwon
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  4. Ramesh Kumar Lama
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Correspondence to Goo-Rak Kwon.

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Choi, MR., Ko, SJ., Kwon, GR. et al. Color image interpolation in the DCT domain using a wavelet-based differential value. Multimed Tools Appl 77, 21539–21556 (2018). https://doi.org/10.1007/s11042-018-5616-2

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  • DOI: https://doi.org/10.1007/s11042-018-5616-2

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