The fractional differential enhancement of image texture features and its parallel processing optimization
Jin Che, Yi-Shuai Shi, Yang Xiang, Yutao Ma · 2012
This paper mainly discusses the applications of the fractional differential in image enhancement and its parallel processing optimization. Firstly, it makes the principle analysis of fractional calculus antagonistic properties and texture extraction of the digital image. Then it constructs the fractional differential mask and determines its operation rules. The simulation result shows that the mask enhances the digital images texture features effectively with the operation rules. As the mask processing costs large amount of calculation, which is time-consuming, therefore, the parallel algorithm of digital image processing is introduced, so that the large amount calculation problem is better resolved, and satisfactory results are obtained.