کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4969279 1449928 2017 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Combining self-learning based super-resolution with denoising for noisy images
ترجمه فارسی عنوان
ترکیب فوق العاده رزولوشن مبتنی بر خودآموز با استفاده از تصاویر پر سر و صدا
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
چکیده انگلیسی
In this paper, we propose a new learning based joint Super-Resolution (SR) and denoising algorithm for noisy images. The individual processing of denoising and SR when super-resolving a noisy image has drawbacks such as noise amplification, blurring and SR performance reduction. In the proposed joint method, principal component analysis (PCA) based denoising is closely combined with a self-learning SR framework in order to minimize the SR visual quality degradation caused by noise. Experimental results show that the joint method achieves an SR image quality improvement in terms of noise and blurring, when compared with the state-of-the-art joint method and sequential combinations of individual denoising and SR.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Visual Communication and Image Representation - Volume 48, October 2017, Pages 66-76
نویسندگان
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