Titlebook: Computational Intelligence in Image Processing; Amitava Chatterjee,Patrick Siarry Book 2013 Springer-Verlag Berlin Heidelberg 2013 computa

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Use of Stochastic Optimization Algorithms in Image Retrieval Problemss of such approaches, as well as an overview of some of the most interesting ideas proposed in the recent literature in the field. The relevant methodologies refer to different applications of the optimization process, as a way of either improving the parameter setting in traditional retrieval tools

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A Cluster-Based Boosting Strategy for Red Eye Removalra lens, as in most compact imaging devices. To reduce these artifacts, most cameras have a red eye flash mode which fires a series of preflashes prior to picture capture. The major disadvantage of the preflash approach is power consumption (e.g., flash is the most power-consuming device on the came

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Multiobjective PSO for Hyperspectral Image Clusteringclustering. It aims at simultaneously solving the following three different issues: (1) clustering the hyperspectral cube under analysis; (2) detecting the most discriminative bands of the hypercube; (3) avoiding the user to set a priori the number of data classes. The search process is guided by th

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Fuzzy Clustering-Based Vector Quantization for Image Compression utilities are relocated (i.e., migrated) to fuzzy areas of large clusters so that they can increase their utility and obtain a better local minimum. The algorithm is implemented in gray-scale image compression, where its efficiency is tested and verified.

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Layers Image Compression and Reconstruction by Fuzzy Transformsrices ., called blocks. Hence we divide [0,1] into subintervals by adopting the quantile method, so that each subinterval contains the same number of normalized pixels of every block ., then we apply the .-transforms to each block-layer. In terms of quality of the reconstructed image, our method is

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Modified Bacterial Foraging Optimization Technique for Vector Quantization-Based Image Compressionhin the BFO algorithm in a more efficient manner, which is utilized to solve this image compression problem. The codebook design procedure has been implemented using a fuzzy membership-based method, and the optimization procedure attempts to determine suitable free parameters of these fuzzy sets. Th

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