Machine vision: automated visual inspection and robot vision
Machine vision: automated visual inspection and robot vision
A new vector median filter for colour image processing
Pattern Recognition Letters
Digital Image Processing: A Practical Introduction Using Java (with CD-ROM)
Digital Image Processing: A Practical Introduction Using Java (with CD-ROM)
Computer Vision and Image Processing: A Practical Approach Using Cviptools with Cdrom
Computer Vision and Image Processing: A Practical Approach Using Cviptools with Cdrom
Digital Image Processing
The Colour Image Processing Handbook (Optoelectronics, Imaging and Sensing)
The Colour Image Processing Handbook (Optoelectronics, Imaging and Sensing)
An adaptive image enhancement algorithm
Pattern Recognition
Adaptive alpha-trimmed mean filters under deviations from assumed noise model
IEEE Transactions on Image Processing
Adaptive median filters: new algorithms and results
IEEE Transactions on Image Processing
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In this paper, two novel image filters are presented. These filters, named as Far Distance Filter (FDF) and Near Distance Filter (NDF), are actually based on calculating the distance between image pixels and their neighbors in order to construct arbitrary values used to enhance abnormal pixels (noise). FDF and NDF use (5 × 5) kernel instead of the usual (3 × 3) kernel to produce better image results. The performance of proposed filters and the well-known mean filters is investigated through the measurement of PSNR and MSE. This performance shows clearly the efficiency of the proposed filters.