N Interdisciplinary Introduction To Image Processing
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An Interdisciplinary Introduction to Image Processing
Basic principles of image processing and programming explained without college-level mathematics. This book explores image processing from several perspectives: the creative, the theoretical (mainly mathematical), and the programmatical. It explains the basic principles of image processing, drawing on key concepts and techniques from mathematics, psychology of perception, computer science, and art, and introduces computer programming as a way to get more control over image processing operations. It does so without requiring college-level mathematics or prior programming experience. The content is supported by PixelMath, a freely available software program that helps the reader understand images as both visual and mathematical objects. The first part of the book covers such topics as digital image representation, sampling, brightness and contrast, color models, geometric transformations, synthesizing images, stereograms, photomosaics, and fractals. The second part of the book introduces computer programming using an open-source version of the easy-to-learn Python language. It covers the basics of image analysis and pattern recognition, including edge detection, convolution, thresholding, contour representation, and K-nearest-neighbor classification. A chapter on computational photography explores such subjects as high-dynamic-range imaging, autofocusing, and methods for automatically inpainting to fill gaps or remove unwanted objects in a scene. Applications described include the design and implementation of an image-based game. The PixelMath software provides a “transparent” view of digital images by allowing the user to view the RGB values of pixels by zooming in on an image. PixelMath provides three interfaces: the pixel calculator; the formula page, an advanced extension of the calculator; and the Python window.
Quantum Image Processing
This book provides a comprehensive introduction to quantum image processing, which focuses on extending conventional image processing tasks to the quantum computing frameworks. It summarizes the available quantum image representations and their operations, reviews the possible quantum image applications and their implementation, and discusses the open questions and future development trends. It offers a valuable reference resource for graduate students and researchers interested in this emerging interdisciplinary field.
Design Strategies for Reimagining the City
Design Strategies for Reimagining the City is situated between projective geometry, optical science and architectural design. It draws together seemingly unrelated fields in a series of new digital design tools and techniques underpinned by tested prototypes. The book reveals how the relationship between architectural design and the ubiquitous urban camera can be used to question established structures of control and ownership inherent within the visual model of the Western canon. Using key moments from the broad trajectory of historical and contemporary representational mechanisms and techniques, it describes the image’s impact on city form from the inception of linear perspective geometry to the digital turn. The discussion draws upon combined fields of digital geometry, the pictorial adaptation of human optical cues of colour brightness and shape, and modern image-capture technology (webcams, mobile phones and UAVs) to demonstrate how the permeation of contemporary urban space by digital networks calls for new architectural design tools and techniques. A series of speculative drawings and architectural interventions that apply the new design tools and techniques complete the book. Aimed at researchers, academics and upper-level students in digital design and theory, it makes a timely contribution to the ongoing and broadly debated relationship between representation and architecture.