کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4969278 1449928 2017 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Complex impulse noise removal from color images based on super pixel segmentation
ترجمه فارسی عنوان
حذف سر و صدا پیچیده از تصاویر رنگی بر اساس تقسیم بندی فوق العاده پیکسل
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
چکیده انگلیسی
Impulse noise sometimes appears as blob or granular shapes in images, which are irregularly shaped with typically several pixels wide in different directions. Most existing methods are developed to remove only single-point impulse noise and usually perform poor when applied to blob noise removal. This paper presents a new method to suppress such complex blob noise with varying sizes and irregular shapes in color images. First, a noisy image is segmented into super pixels by mean shift filtering followed by a clustering operation based on quaternion color distance. Then, by analyzing the characteristics of super pixels, image pixels are classified into noise-free, blob-noisy, and single-point impulse ones. Finally, a selected recursive vector median filter with adaptive window sizes is employed on the noisy pixels detected. The experimental results exhibit the validity of the proposed solution by showing excellent denoising effect and performance, compared to other color image denoising methods.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Visual Communication and Image Representation - Volume 48, October 2017, Pages 54-65
نویسندگان
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