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

Moo Rak Choi, Sung-Jea Ko, Goo Rak Kwon, Ramesh Kumar Lama

Research output: Contribution to journalArticle

1 Citation (Scopus)

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.

Original languageEnglish
Pages (from-to)1-18
Number of pages18
JournalMultimedia Tools and Applications
DOIs
Publication statusAccepted/In press - 2018 Jan 11

Fingerprint

Discrete cosine transforms
Image resolution
Wavelet transforms
Interpolation
Color
Image quality

Keywords

  • Adaptive directional wavelet transform
  • Discrete cosine transform
  • Hybrid transforms
  • Image interpolation

ASJC Scopus subject areas

  • Software
  • Media Technology
  • Hardware and Architecture
  • Computer Networks and Communications

Cite this

Color image interpolation in the DCT domain using a wavelet-based differential value. / Choi, Moo Rak; Ko, Sung-Jea; Kwon, Goo Rak; Lama, Ramesh Kumar.

In: Multimedia Tools and Applications, 11.01.2018, p. 1-18.

Research output: Contribution to journalArticle

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