Quality improvement through an efficient image segmentation

JinSoo Park; Joon-Hyeon Jeon

doi:10.1117/12.209656

30 May 1995 Quality improvement through an efficient image segmentation

JinSoo Park, Joon-Hyeon Jeon

Proceedings Volume 2513, 21st International Congress on: High-Speed Photography and Photonics; (1995) https://doi.org/10.1117/12.209656
Event: High-Speed Photography and Photonics: 21st International Congress, 1994, Taejon, Korea, Republic of

Abstract

The next generation coding techniques are closely connected to the major techniques on computer vision and computer graphics especially in the field of segmentation. This paper deals with a study on the foreground and background segmentation in videophone-type sequence and tries to use it for quality enhancement of reconstructed image. A simple 1D high-pass mask is used to reduce redundant correlated image information. And an edge information from edge operator is incorporated to help to find the contour of object boundary. An appropriate bridging strategy is proposed as one part of constructing the linear contour. Simulation results show that the proposed algorithm works well for videophone-type sequence and improves the reconstructed image quality considerably.

Citation Download Citation

JinSoo Park and Joon-Hyeon Jeon "Quality improvement through an efficient image segmentation", Proc. SPIE 2513, 21st International Congress on: High-Speed Photography and Photonics, (30 May 1995); https://doi.org/10.1117/12.209656

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