Compressive Sampling of Color Retinal Image Using Spread Spectrum Fourier Sampling and Total Variant

NOVAMIZANTI, L. E. D. Y. A.; RAMATRYANA, I. N. Y. O. M. A. N. A. P. R. A. Z.; MAGDALENA, R. I. T. A.; PRATAMA, I. P. U. T. U. A. G. U. S. E. K. A.; RAHIM, T. A. R. I. Q.; SHIN, S. O. O. Y. O. U. N. G.

doi:10.1109/ACCESS.2022.3166464

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Compressive Sampling of Color Retinal Image Using Spread Spectrum Fourier Sampling and Total Variant

NOVAMIZANTI, L. E. D. Y. A.;
RAMATRYANA, I. N. Y. O. M. A. N. A. P. R. A. Z.;
MAGDALENA, R. I. T. A.;
PRATAMA, I. P. U. T. U. A. G. U. S. E. K. A.;
RAHIM, T. A. R. I. Q.;
... SHIN, S. O. O. Y. O. U. N. G.

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초록

In medical imaging, the application of retinal images demands a lot of retinal photos to analyze and requires efficient compression techniques for retinal image storage. Retinal images must meet stringent quality requirements for clinical data to be accurate and dependable. This paper proposes a compressive sampling (CS) framework for color retinal image (CRI) compression, which relies on spread spectrum Fourier sampling (SSFS) and total variant (TV)-based reconstruction method with three loops of RGB color space, referred to as RGB-TV. In CS, two procedures are performed, i.e., compression and CS reconstruction. In compression steps, SFFS is performed to get a compressed signal from the original CRI with a high compression ratio (CR). While in CS reconstruction, TV-norm and TV proximal operator are exploited for problem optimization to recover original CRI from a compressed signal. In addition, signal-to-noise ratio (SNR), structural similarity (SSIM), and reconstruction time are investigated for the performance metrics of the proposed RGB-TV. The computer simulation result shows that the proposed RGB-TV with a set of CRI of size 512 by 512 pixels can compress until CR = 10 which obtains mean SNR of 22 dB, SSIM 0.84, and reconstruction time of 2.2 seconds.

키워드

Image coding; Image reconstruction; Retina; TV; Image color analysis; Biomedical imaging; Microwave integrated circuits; Color retinal image; compressive sampling; RGB; spread spectrum; total variant; MEDICAL IMAGES; LOSSLESS COMPRESSION

제목: Compressive Sampling of Color Retinal Image Using Spread Spectrum Fourier Sampling and Total Variant

저자: NOVAMIZANTI, L. E. D. Y. A.; RAMATRYANA, I. N. Y. O. M. A. N. A. P. R. A. Z.; MAGDALENA, R. I. T. A.; PRATAMA, I. P. U. T. U. A. G. U. S. E. K. A.; RAHIM, T. A. R. I. Q.; SHIN, S. O. O. Y. O. U. N. G.

DOI: 10.1109/ACCESS.2022.3166464

발행일: 2022-04

유형: Article

저널명: IEEE Access

권: 10

페이지: 42198 ~ 42207

언어: ENG

출판사: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

발행국가: 미국

분량: 10 페이지

ISSN: P 2169-3536