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Removal of high density impulse noise using a novel decision based adaptive weighted and trimmed median filter

عنوان مقاله: Removal of high density impulse noise using a novel decision based adaptive weighted and trimmed median filter
شناسه ملی مقاله: ICMVIP08_132
منتشر شده در هشتمین کنفرانس ماشین بینایی و پردازش تصویر ایران در سال 1392
مشخصات نویسندگان مقاله:

Mahdi Nooshyar - Faculty of Engineering University of Mohaghegh Ardabili Ardabil,
Mohamad Momeny - Faculty of Engineering University of Mohaghegh Ardabili Ardabil,

خلاصه مقاله:
Impulse noise is one of the most important factors indegrading of image quality. In this paper, a novel technique ispresented for detecting and removing of impulse noise, while thesignificant information of image, such as edges and texture, areremind untouched. The proposed algorithm use the weightedwindow with variable sizes and apply median filtering on them.Simulation results, with various images and noise intensities, showthat the proposed algorithm has better performance compared withstate of the art methods and increases the PSNR value (of thereconstructed image) up to 4dBs

کلمات کلیدی:
Noise removal; Impulse noise detector; Image enhancement;

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/227482/