JONAS LOWGREN AND ERIK STOLTERMAN THOUGHTFUL INTERACTION DESIGN A DESIGN PERSPECTIVE ON INFORMATION TECHNOLOGY MIT Press, 2004 ISBN 0-262-12271-5, 198 pages, hardbound, black and white illustrations, $35.00 When I picked up this book, I thought I'd give it a quick browse. The early pages confirmed this approach as it identified its goal as representing design to information technology (IT). However by the end of the first chapter I knew I needed to read it thoroughly. The authors are in the Scandinavian human-centered tradition that emphasizes development of the human side of technology use. As designers in search of digital solutions, they traverse design processes, understanding people and technology in use and development. This book is important because designers increasingly work with information technologists and epistemologically their worlds are quite different. What is important, what constitutes evidence for a solution, how a process unfolds and what is the goal are all somewhat different between these disciplines. Many designers lack basic understanding of science or logic and find interdisciplinary work difficult or even troubling. This book serves to provide a bridge from design to IT. Another book is needed for traffic going in the other direction, from IT to design. In an early chapter the authors develop terms for the design process in order to speak clearly about it; the terms are vision, a largely intuitive first organizing principle for what will unfold; operative image, the externalization of the vision that bridges the abstract and the concrete; and specification, the transition from an operative image into a specific something to be built. The way a designer works, holistically, fluidly and in a search for the character of an emergent whole, is significantly different from that of an engineer. The authors enumerate design ability with the following (p. 45): * Creating and shaping demands creative and analytical ability * Deciding demands critical judgment * Working with a client demands rationality and ability to communicate * Design of structural qualities demands knowledge of technology and material * Design of functional qualities demands knowledge of technology use * Design of ethical qualities demands knowledge of relevant values and ideals * Design of aesthetic qualities demands an ability to appreciate and compose After establishing design fundamentals, a chapter explores design methods and techniques. …

Thoughtful Interaction Design: A Design Perspective on Information Technology

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Handbook Of Image And Video Processing

Handbook of Image and Video Processing 2nd Edition (Hardback)

Algorithms For Image Processing And Computer Vision

The basic requirements for practical optical communication systems are reviewed. The construction and performance of some of the key constituents such as the fibre, cable, sources, connectors and splices are discussed. Particular emphasis is placed on the special properties of optical communication systems such as the economic advantage of wideband trunk communication, the immunity to electrical interference, and the high strength to weight ratio of the transmission medium. Details of a repeated 140 Mbit/s field demonstration over a 9 km route between Hitchin and Stevenage are given to illustrate the features of a comprehensive optical communication system.

Fibre Optic Communication Systems

The Hough Transform (HT) is a digital image processing method for the detection of shapes which has multiple uses today. A disadvantage of this method is its sequential computational complexity, particularly when a single processor is used. An optimized algorithm of HT for straight lines detection in an image is presented in this article. Optimization is realized by using a decomposition of the input image recently proposed via central processing unit (CPU), and the technique known as segment decomposition. Optimized algorithms improve execution times significantly. In this paper, the optimization is implemented in parallel using graphics processing unit (GPU) programming, allowing a reduction of total run time and achieving a performance more than 20 times better than the sequential method and up to 10 times better than the implementation recently proposed. Additionally, we introduce the concept of Performance Ratio, to emphasize the outperforming of the GPU over the CPUs.

A fast Hough Transform algorithm for straight lines detection in an image using GPU parallel computing with CUDA-C

Recently, a blind image restoration algorithm based on camera microscanning was proposed. Unfortunately, the
computational complexity of the algorithm is very high. In this paper we propose a fast algorithm for image
restoration using the information obtained during camera microscanning. First, the captured observed images are
decomposed into a pyramidal set of small images. Next, the blind iterative algorithm is applied for restoration of the
set of small images. Finally, the resultant output image is constructed from the set of restored small images.
Simulation results are presented and discussed. Preliminary results show that the processing time is significantly
reduced.

Fast image restoration algorithm based on camera microscanning

Detecting and counting elliptical objects are an interesting problem in digital image processing. There are real-world applications of this problem in various disciplines. Solving this problem is harder when there is occlusion among the elliptical objects, since in general these objects are considered as part of the bigger object (conglomerate). The solution to this problem focusses on the detection and segmentation of the precise number of occluded elliptical objects, while omitting all noninteresting objects. There are a variety of computational approximations that focus on this problem; however, such approximations are not accurate when there is occlusion. This paper presents an algorithm designed to solve this problem, specifically, to detect, segment, and count elliptical objects of a specific size when these are in occlusion with other objects within the conglomerate. Our algorithm deals with a time-consuming combinatorial process. To optimize the execution time of our algorithm, we implemented a parallel GPU version with CUDA-C, which experimentally improved the detection of occluded objects, as well as lowering processing times compared to the sequential version of the method. Comparative test results with another method featured in literature showed improved detection of objects in occlusion when using the proposed parallel method.

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A Parallel Algorithm for the Counting of Ellipses Present in Conglomerates Using GPU

This paper presents a restoration method using several degraded observed images obtained through a technique known as microscanning. It is shown that microscanning provides sufficient spatial information for image restoration with minimal information about the original image and without knowing the interference function that causes degradation.

Blind Adaptive Method for Image Restoration Using Microscanning

Common restoration techniques perform signal processing using a single observed image. In this paper we show that the accuracy of restoration could be significantly increased if at least three observed degraded images obtained from a microscanning camera are used. It is assumed that the degraded images contain information about an original image, linear degradation and illumination functions, and additive sensor's noise. Using spatial information from camera, a set of equations and objective function are formed. By solving the system of equations with the help of an iterative algorithm, the original image can be recovered. Computer simulation results presented and discussed.

J. L. López-Martínez

Papers

A fast Hough Transform algorithm for straight lines detection in an image using GPU parallel computing with CUDA-C

Fast image restoration algorithm based on camera microscanning

A Parallel Algorithm for the Counting of Ellipses Present in Conglomerates Using GPU

Blind Adaptive Method for Image Restoration Using Microscanning

Image restoration based on camera microscanning