Fundamentals of digital image processing
Fundamentals of digital image processing
Introduction to algorithms
Digital Image Processing: PIKS Inside
Digital Image Processing: PIKS Inside
Data Structures, Algorithms, & Software Principles in C
Data Structures, Algorithms, & Software Principles in C
Digital Image Processing
Fast mean filtering technique (FMFT)
Pattern Recognition
Edge preserving filtering by combining nonlinear mean and medianfilters
IEEE Transactions on Signal Processing
Adaptive alpha-trimmed mean filters under deviations from assumed noise model
IEEE Transactions on Image Processing
Multimedia technology for pervasive computing environment
The Journal of Supercomputing
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We present a new fast spatial averaging technique that efficiently implements operations for spatial averaging or two-dimensional mean filtering. To perform spatial averaging of an M脳N image with an averaging filter of size m脳n, our proposed method requires approximately 4MN additions and no division. This is very promising, since the major computations required by our algorithm depend only on the size of the original image but not on the size of the averaging filter. To our knowledge, this technique requires the smallest number of additions for mean filtering. Experimental results on various image sizes using different filter sizes confirm that our fast spatial averaging algorithm is significantly faster than other spatial averaging algorithms, especially when the size of the input image is very large.