Improving the Quality of Image Using Particle Swarm Optimization
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Image improvement is one of the important image processing capabilities. It can be used to transform one image to another to improve the view of it for human viewers, or to extract finer details of images which may provide better input for other automated image analysis systems. Image improvement is considered as an optimization problem. We can use particle swarm optimization (PSO) is used to solve it. The quality of the intensity image is improved by a transformation function, in which parameters are optimized by PSO based on given criterion function. For image improvement task, a transformation function is required which takes the intensity value of each pixel from the input image and generates a new intensity value for the corresponding pixel to produce the improved image. To evaluate the quality of the enhanced image automatically, a quality function is needed which tells about the quality of the improved image.
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