Compressive Sampling of Color Retinal Image Using Spread Spectrum Fourier Sampling and Total Variant
نویسندگان
چکیده
In medical imaging, the application of retinal images demands a lot photos to analyze and requires efficient compression techniques for image storage. Retinal must meet stringent quality requirements clinical data be accurate dependable. This paper proposes compressive sampling (CS) framework color (CRI) compression, which relies on spread spectrum Fourier (SSFS) total variant (TV)-based reconstruction method with three loops RGB space, referred as RGB-TV. CS, two procedures are performed, i.e., CS reconstruction. steps, SFFS is performed get compressed signal from original CRI high ratio (CR). While in reconstruction, TV-norm TV proximal operator exploited problem optimization recover signal. addition, signal-to-noise (SNR), structural similarity (SSIM), time investigated performance metrics proposed The computer simulation result shows that RGB-TV set size 512 by pixels can compress until CR = 10 obtains mean SNR 22 dB, SSIM 0.84, 2.2 seconds.
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2022
ISSN: ['2169-3536']
DOI: https://doi.org/10.1109/access.2022.3166464