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논문 기본 정보

자료유형
학술저널
저자정보
Khanh Quoc Dinh (Sungkyunkwan University) Chien Van Trinh (Sungkyunkwan University) Viet Anh Nguyen (Sungkyunkwan University) Younghyeon Park (Sungkyunkwan University) Byeungwoo Jeon (Sungkyunkwan University)
저널정보
대한전자공학회 IEIE Transactions on Smart Processing & Computing IEIE Transactions on Smart Processing & Computing Vol.3 No.1
발행연도
2014.2
수록면
10 - 18 (9page)

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초록· 키워드

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From the perspective of reducing the sampling cost of color images at high resolution, block-based compressive sensing (CS) has attracted considerable attention as a promising alternative to conventional Nyquist/Shannon sampling. On the other hand, for storing/transmitting applications, CS requires a very efficient way of representing the measurement data in terms of data volume. This paper addresses this problem by developing a measurement-coding method with the proposed customized Huffman coding. In addition, by noting the difference in visual importance between the luma and chroma channels, this paper proposes measurement coding in YCbCr space rather than in conventional RGB color space for better rate allocation. Furthermore, as the proper use of the image property in pursuing smoothness improves the CS recovery, this paper proposes the integration of a low pass filter to the CS recovery of color images, which is the block-based l<SUB>20 </SUB>-norm minimization. The proposed coding scheme shows considerable gain compared to conventional measurement coding.

목차

Abstract
1. Introduction
2. Proposed measurement coding for color images
3. Improved recovery of the block-based CS of color images
4. Experimental results
5. Conclusion remarks
References

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