Adaptive Fractional Image Enhancement Algorithm Based on Rough Set and Particle Swarm Optimization
Xuefeng Zhang, Ri Liu, Jianxu Ren, Qinglong Gui
Abstract
This paper proposes a new image enhancement algorithm. At first, the paper uses the combination of rough set and particle swarm optimization (PSO) algorithm to distinguish the smooth area, edge and texture area of the image. Then, according to the results of image segmentation, an adaptive fractional differential filter is used to enhance the image. Finally, the experimental results show that the image enhanced by this algorithm has clear edge, rich texture details, and retains the information of the smooth area of the image.
Topics & Concepts
Particle swarm optimizationImage (mathematics)Image segmentationImage textureArtificial intelligenceAlgorithmComputer visionImage enhancementEnhanced Data Rates for GSM EvolutionComputer sciencePattern recognition (psychology)MathematicsImage Enhancement TechniquesImage and Signal Denoising MethodsAdvanced Image Fusion Techniques