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From Cells to Proteins : Imaging Nature across Dimensions ; Proceedings of the NATO Advanced Study Institute, held in Pisa, Italy, 12-23 September 2004
This book offers updated information on how much information we are able to obtain in the exploration of the inner details of biological specimens in their native structure and composition. And deals with the implementation of laser beam and stage scanning systems incorporating confocal optics or multiphoton microscopy; the advent of new electro-optical detectors with great sensitivity, linearity, and dynamic range; the possibility of 2D fast image enhancement, reconstruction, restoration, analysis and 3D display, and the application of luminescence techniques.
Deep structure, singularities, and computer vision ; 1st international workshop, DSSCV 2005, Maastricht, The Netherlands, June 9-10, 2005, revised selected papers
Constitutes the refereed post-proceedings of the First International Workshop on Deep Structure, Singularities, and Computer Vision, DSSCV 2005, held in Maastricht. This book represents in understanding the relation between structural, topological information represented by singularities and metric information of signals, shapes, and colors.
Creating and Enhancing Digital Astro Images
Digital imaging is now available to all amateur astronomers at a reasonable price. The advent of CCDs, DSLRs and – perhaps most significantly – webcams mean today’s astronomers can make colorful planetary or deep-sky images of breathtaking beauty. The results obtained with even modest equipment can be spectacular, but of course they depend crucially on the computer processing of the images after they have been captured. Enhancing Digital Images is not just an introduction to image processing, it is a deeply practical, comprehensive and fully illustrated in-depth guide to using a digital camera, performing image reduction and undertaking image enhancement – all without jargon or math. Here is everything you need to know about processing digital astronomical images, regardless of whether you are experienced or a relative beginner!
Artificial intelligence in recognition and classification of astrophysical and medical images
This book presents innovative techniques in Recognition and Classification of Astrophysical and Medical Images. The contents include: Introduction to pattern recognition and classification in astrophysical and medical images. Image standardization and enhancement. Region-based methods for pattern recognition in medical and astrophysical images. Advanced information processing using statistical methods. Feature recognition and classification using spectral method
Advances in image enhancement
In the era of the internet of things, images have played important roles in human–computer interactions, and with the arrival of big data technology, people have higher requirements regarding image quality, especially for images collected in dark light. This can be addressed through the development of camera hardware quality, i.e., the resolution and exposure time of cameras, which may require high computational costs. As an alternative, image enhancement techniques can exact salient features to improve the quality of captured images according to the differences in diverse features, although they suffer from some challenges, i.e., a low contrast, artifacts, and overexposure, thus making it decidedly necessary to determine how to use advanced image enhancement techniques.
