کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
561642 1451973 2010 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Compressed sensing of color images
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
پیش نمایش صفحه اول مقاله
Compressed sensing of color images
چکیده انگلیسی

This work proposes a method for color imaging via compressive sampling. Random projections from each of the color channels are acquired separately. The problem is to reconstruct the original color image from the randomly projected (sub-sampled) data. Since each of the color channels are sparse in some domain (DCT, Wavelet, etc.) one way to approach the reconstruction problem is to apply sparse optimization algorithms. We note that the color channels are highly correlated and propose an alternative reconstruction method based on group sparse optimization. Two new non-convex group sparse optimization methods are proposed in this work. Experimental results show that incorporating group sparsity into the reconstruction problem produces significant improvement (more than 1 dB PSNR) over ordinary sparse algorithm.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Signal Processing - Volume 90, Issue 12, December 2010, Pages 3122–3127
نویسندگان
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