Fundamentals of digital image processing
Fundamentals of digital image processing
Feature Selection: Evaluation, Application, and Small Sample Performance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Image Processing
Digital Picture Processing
Introduction to Algorithms
Digital Image Processing Using MATLAB
Digital Image Processing Using MATLAB
Remote Sensing Digital Image Analysis: An Introduction
Remote Sensing Digital Image Analysis: An Introduction
Maritime surveillance: Tracking ships inside a dynamic background using a fast level-set
Expert Systems with Applications: An International Journal
Fast spatial averaging: an efficient algorithm for 2D mean filtering
The Journal of Supercomputing
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This article presents a novel method for mean filtering that reduces the required number of additions and eliminates the need for division altogether. The time reduction is achieved using basic store-and-fetch operations and is irrespective of the image or neighbourhood size. This method has been tested on a variety of greyscale images and neighbourhood sizes with promising results. These results indicate that the relative time requirement reduces with increase in image size. The method's efficiency also improves significantly with increase in neighbourhood size thereby making it increasingly useful when dealing with large images.