An Improved Median Filtering Algorithm Combined with Average Filtering

Author(s):  
Zhu Youlian ◽  
Huang Cheng
2013 ◽  
Vol 32 (3) ◽  
pp. 736-738
Author(s):  
Shu-juan LIU ◽  
Ye ZHAO ◽  
Rui DONG ◽  
Zhi-wei WANG ◽  
Fang-fang YANG

2018 ◽  
Vol 26 (12) ◽  
pp. 3028-3039 ◽  
Author(s):  
邹永宁 ZOU Yong-ning ◽  
姚功杰 YAO Gong-jie

2014 ◽  
Vol 513-517 ◽  
pp. 1055-1058
Author(s):  
Jin Lun Li ◽  
Shao Hui Cui ◽  
Ku Nao Guo

Real-time image processing has been a difficult problem in embedded image processing system. The traditional MCU could not meet the real-time demand when large volume of data awaited to be proceed. FPGA is an effective driver to achieve real-time parallel processing of data. The implementation rationale and the design of module have been given in this article; and the Hard Software has been truly achieved. At the end of the article, the simulation waveform graph has been obtained by processing functional simulation on algorithm module by using Modelsim software; and the simulation result shows that this design is able to proper functioning and has good application prospects.


2017 ◽  
Author(s):  
Robbi Rahim ◽  
Ali Ikhwan

Noise is one form of issue in the image, salt & pepper noise is the kind of noise that can be made using a special technique or also due to the conversion from analog signals to digital, the noise can be improved by using algorithms such as the mean filtering, the mid-point filtering and median filtering, median filtering algorithm is widely used for repair image quality, this article will discuss the modification of the median filtering to improve noise in the image by taking the average of neighboring pixels by 2 points from the value of the center clockwise, the value is taken to be processed to retrieve the value of the middle and then the overall result value will be divided to replace the center pixel value 3x3 spatial window.


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