Adaptive image processing is one of the most important techniques in visual information processing, especially in early vision such as image restoration, filtering, enhancement, and segmentation. While existing books present some aspects of this important issue, there is not a single book that treats this problem from a purely computational intelligence (CI) viewpoint. With three new chapters and numerous updates throughout, this second edition includes substantial new material that focuses on applications of advanced CI techniques in image processing applications. It emphasizes developments in state-of-the-art CI techniques, such as CBIR.

Kim-Hui Yap, Ling Guan, Stuart William Perry, San Hau Wong

Introduction. Fundamentals of CI-Inspired Adaptive Image Restoration. Spatially Adaptive Image Restoration. Adaptive Regularization Using Evolutionary Computation. Blind Image Deconvolution. Edge Detection Using Model-Based Neural Networks. Image Analysis and Retrieval via Self-Organization. Genetic Optimization of Feature Representation for Compressed-Domain Image Categorization. Content-Based Image Retrieval Using Computational Intelligence Techniques.