Title :
Image denoising using adaptive switching median filter
Author :
Khryashchev, Vladimir V. ; Priorov, Andrey L. ; Apalkov, Ilya V. ; Zvonarev, Pavel S.
Author_Institution :
Digital Circuits & Signals Lab., Yaroslavl State Univ., Russia
Abstract :
A new adaptive switching median filter is proposed to remove salt-and-pepper impulse noise from corrupted image. The algorithm is developed by combining advantages of the known median-type filters with impulse noise detection step. Comparison of the given method with traditional filters is provided. A visual example is given to demonstrate the performance of the proposed filter.
Keywords :
adaptive filters; image denoising; impulse noise; median filters; adaptive switching median filter; image denoising; salt-and-pepper impulse noise; Adaptive filters; Circuit noise; Digital circuits; Digital filters; Image denoising; Image edge detection; Laboratories; Noise generators; Pixel; Switching circuits; impulse noise; median filter; noise detection; nonlinear image processing;
Conference_Titel :
Image Processing, 2005. ICIP 2005. IEEE International Conference on
Print_ISBN :
0-7803-9134-9
DOI :
10.1109/ICIP.2005.1529701
