A Closed Form Correlation Model Of Oriented Bandpass Natural Images Beyond Adjacent Responses
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A Closed-form Correlation Model of Oriented Bandpass Natural Images Beyond Adjacent Responses
Building natural scene statistical models is crucial for a large set of applications starting from the design of faithful image and video quality metrics to image enhancing techniques. Most predominant statistical models of natural images characterize univariate distributions of divisively normalized bandpass responses or wavelet-like decomposition of them. Previous models focusing on these bandpass natural responses offer optimized solutions to numerous problems in image processing however, these models have not focused on finding a closed-form quantative model capturing the bivariate natural statistics. Towards the efforts for filling this gap, Su et. al recently modeled spatially horizontally neighboring bandpass image responses on multiple scales; however, the latter work did not cover the response of distant bandpass image responses with various spatial orientations. This work builds on Su. et al 's model and extends the closed-form correlation model to cover distant bandpass image responses, up to a distance of ten pixels; with multiple spatial orientations, encompassing all the discrete spatial angles for the lastly-mentioned distances on multiple scales.
Feedback Systems
Author: Karl Johan Åström
language: en
Publisher: Princeton University Press
Release Date: 2021-02-02
The essential introduction to the principles and applications of feedback systems—now fully revised and expanded This textbook covers the mathematics needed to model, analyze, and design feedback systems. Now more user-friendly than ever, this revised and expanded edition of Feedback Systems is a one-volume resource for students and researchers in mathematics and engineering. It has applications across a range of disciplines that utilize feedback in physical, biological, information, and economic systems. Karl Åström and Richard Murray use techniques from physics, computer science, and operations research to introduce control-oriented modeling. They begin with state space tools for analysis and design, including stability of solutions, Lyapunov functions, reachability, state feedback observability, and estimators. The matrix exponential plays a central role in the analysis of linear control systems, allowing a concise development of many of the key concepts for this class of models. Åström and Murray then develop and explain tools in the frequency domain, including transfer functions, Nyquist analysis, PID control, frequency domain design, and robustness. Features a new chapter on design principles and tools, illustrating the types of problems that can be solved using feedback Includes a new chapter on fundamental limits and new material on the Routh-Hurwitz criterion and root locus plots Provides exercises at the end of every chapter Comes with an electronic solutions manual An ideal textbook for undergraduate and graduate students Indispensable for researchers seeking a self-contained resource on control theory
Modern Image Quality Assessment
This Lecture book is about objective image quality assessment--where the aim is to provide computational models that can automatically predict perceptual image quality. The early years of the 21st century have witnessed a tremendous growth in the use of digital images as a means for representing and communicating information. A considerable percentage of this literature is devoted to methods for improving the appearance of images, or for maintaining the appearance of images that are processed. Nevertheless, the quality of digital images, processed or otherwise, is rarely perfect. Images are subject to distortions during acquisition, compression, transmission, processing, and reproduction. To maintain, control, and enhance the quality of images, it is important for image acquisition, management, communication, and processing systems to be able to identify and quantify image quality degradations. The goals of this book are as follows; a) to introduce the fundamentals of image quality assessment, and to explain the relevant engineering problems, b) to give a broad treatment of the current state-of-the-art in image quality assessment, by describing leading algorithms that address these engineering problems, and c) to provide new directions for future research, by introducing recent models and paradigms that significantly differ from those used in the past. The book is written to be accessible to university students curious about the state-of-the-art of image quality assessment, expert industrial R&D engineers seeking to implement image/video quality assessment systems for specific applications, and academic theorists interested in developing new algorithms for image quality assessment or using existing algorithms to design or optimize other image processing applications.