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Author:

Jaiswal, Sunil Prasad (Jaiswal, Sunil Prasad.) | Jakhetiya, Vinit (Jakhetiya, Vinit.) | Gui, Ke (Gui, Ke.) | Guntuku, Sharath C. (Guntuku, Sharath C..) | Singla, Ashutosh (Singla, Ashutosh.)

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EI

Abstract:

Color-difference interpolation (CDI) has been a widely used technique for various color demosaicking methods. CDI-based methods perform interpolation in the color-difference domain assuming that the color-difference signal is a low-pass signal. Recently, a residual interpolation (RI) algorithm, which conducts interpolation in the residual domain, has been developed, and it assumes that the residual domain is flatter or smoother than the channel-difference domain. In this paper, we comprehensively show a frequency domain analysis of these assumptions and observe that it is image dependent and creates artifacts in the interpolated image. With this view, we propose an algorithm that uses the inter-color correlation as well as the residual smoothness among the different channel much better than the existing algorithms. Experimental results emphasize that the proposed algorithm atribute better performances the existing algorithms in terms of both visual and objective quality. © 2019 IEEE.

Keyword:

Image analysis Color Forecasting Frequency domain analysis Colorimetry Interpolation Visual communication

Author Community:

  • [ 1 ] [Jaiswal, Sunil Prasad]IIT Jammu, India
  • [ 2 ] [Jakhetiya, Vinit]Beijing University of Technology, China
  • [ 3 ] [Gui, Ke]IIT Jammu, India
  • [ 4 ] [Gui, Ke]Beijing University of Technology, China
  • [ 5 ] [Guntuku, Sharath C.]IIT Jammu, India
  • [ 6 ] [Guntuku, Sharath C.]University of Pennsylvania, United States
  • [ 7 ] [Singla, Ashutosh]TU Ilmenau, Germany

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Year: 2019

Language: English

Cited Count:

WoS CC Cited Count: 0

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 1

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