کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
846112 1470600 2015 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Remote sensing image noise reduction using wavelet coefficients based on OMP
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی (عمومی)
پیش نمایش صفحه اول مقاله
Remote sensing image noise reduction using wavelet coefficients based on OMP
چکیده انگلیسی

In recent years, many approaches have been put forward to reduce the noise of a remote sensing image. In this paper, we present an improved method WCOMP based on OMP algorithm for the remote sensing image denoising. We introduce coefficients of wavelet transform into a greedy strategy, combine OMP algorithm with SVD decomposition to train these coefficients with the redundant dictionary of discrete cosine transform (DCT) to achieve the sparse representation of the image, and then reconstruct this image. The goal of our method is to improve the final performance of the image noise reduction. The experiment results show that the WCOMP method performs better than the conventional image denoising methods such as wavelet, Contourlet and K-SVD. Our proposed method can more effectively filter out the noise and keep the original image useful information, compared with these conventional denoising methods.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Optik - International Journal for Light and Electron Optics - Volume 126, Issues 15–16, August 2015, Pages 1439–1444
نویسندگان
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