Image Optimization: The Humble img Element; I IMAGE QUALITY AND PERFORMANCE: 2 Optimizing Image Quality; 3 Comparing Image Formats; 4 Color Management; 5 Image Decoding Performance; 6 Measuring Image Performance; II CURRENTIMAGE FORMATS: 7 JPEG; 8 PNG; 9 WebP; 10 SVG; III IMAGES IN BROWSERS: 11 Responsive Images; 12 Progressive Rendering Techniques; 13 Caching image assets; 14 Lazy-Loading Images; 15 Replacing Animated GIFs; 16 Image Content Delivery Networks; III NEW AND EMERGING IMAGE FORMATS: 17 HEIF and HEIC; 18 AVIF; 19 JPEG XL; 20 Comparing New Image File Formats; V FURTHER OPTIMIZATION: 21 Data Saver; 22 Optimize Images for Core Web Vitals; 23 Case study: Twitter


Book Description

Provides a practical modern guide to delivering high-quality images on the web -- from formats and compression to delivery and maintenance. The book focuses on what matters: modern approaches to image compression and image delivery, practical tools and techniques to automate optimization, responsive images, current and emerging image formats, how browsers load, decode and render images, CDNs, lazy-loading, adaptive media loading and how to optimize for Core Web Vitals.




Image Compression


Book Description

What is Image Compression When applied to digital photographs, image compression is a form of data compression that helps to reduce the amount of money that is required for their storage or transmission. It is possible for algorithms to make use of visual perception and the statistical aspects of picture data in order to provide higher outcomes when compared to generic data compression approaches that are utilized for other types of digital data. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Image compression Chapter 2: Data compression Chapter 3: JPEG Chapter 4: Lossy compression Chapter 5: Lossless compression Chapter 6: PNG Chapter 7: Transform coding Chapter 8: Discrete cosine transform Chapter 9: JPEG 2000 Chapter 10: Compression artifact (II) Answering the public top questions about image compression. (III) Real world examples for the usage of image compression in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Image Compression.




Modern Image Quality Assessment


Book Description

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.




High Performance Images


Book Description

High-quality images have an amazing power of attraction. Just add some stunning photos and graphics to your website or app and watch your user engagement and conversion numbers climb. It can be tricky, but with this practical guide, you’ll master the many facets of delivering high performance images on the internet—without adversely affecting site performance. You’ll learn the nuts and bolts of color theory, image formats, storage and management, operations delivery, browser and application behavior, the responsive web, and many other topics. Ideal for developers, this book also provides useful tips, tricks, and practical theory for processing and displaying powerful images that won’t slow down your online product. Explore digital image theory and the different formats available Dive into JPEGs, SVG and vector images, lossless compression, and other formats Use techniques for downloading and rendering images in a browser, and for loading images on mobile devices and cellular networks Examine specific rendering techniques, such as lazy loading, image processing, image consolidation, and responsive images Take responsive images to the next level by using content negotiation between browser and server with the Client Hints HTTP standard Learn how to operationalize your image workflow Contributors include Colin Bendell, Tim Kadlec, Yoav Weiss, Guy Podjarny, Nick Doyle, and Mike McCall from Akamai Technologies.




Modern Image Quality Assessment


Book Description

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.




Digital Imaging and Communications in Medicine (DICOM)


Book Description

This is the second edition of a very popular book on DICOM that introduces this complex standard from a very practical point of view. It is aimed at a broad audience of radiologists, clinical administrators, information technologists, medical students, and lecturers. The book provides a gradual, down to earth introduction to DICOM, accompanied by an analysis of the most common problems associated with its implementation. Compared with the first edition, many improvements and additions have been made, based on feedback from readers. Whether you are running a teleradiology project or writing DICOM software, this book will provide you with clear and helpful guidance. It will prepare you for any DICOM projects or problem solving, and assist you in taking full advantage of multifaceted DICOM functionality.




Camera Image Quality Benchmarking, Enhanced Edition


Book Description

The essential guide to the entire process behind performing a complete characterization and benchmarking of cameras through image quality analysis Camera Image Quality Benchmarking contains the basic information and approaches for the use of subjectively correlated image quality metrics and outlines a framework for camera benchmarking. The authors show how to quantitatively compare image quality of cameras used for consumer photography. This book helps to fill a void in the literature by detailing the types of objective and subjective metrics that are fundamental to benchmarking still and video imaging devices. Specifically, the book provides an explanation of individual image quality attributes and how they manifest themselves to camera components and explores the key photographic still and video image quality metrics. The text also includes illustrative examples of benchmarking methods so that the practitioner can design a methodology appropriate to the photographic usage in consideration. The authors outline the various techniques used to correlate the measurement results from the objective methods with subjective results. The text also contains a detailed description on how to set up an image quality characterization lab, with examples where the methodological benchmarking approach described has been implemented successfully. This vital resource: Explains in detail the entire process behind performing a complete characterization and benchmarking of cameras through image quality analysis Provides best practice measurement protocols and methodologies, so readers can develop and define their own camera benchmarking system to industry standards Includes many photographic images and diagrammatical illustrations to clearly convey image quality concepts Champions benchmarking approaches that value the importance of perceptually correlated image quality metrics Written for image scientists, engineers, or managers involved in image quality and evaluating camera performance, Camera Image Quality Benchmarking combines knowledge from many different engineering fields, correlating objective (perception-independent) image quality with subjective (perception-dependent) image quality metrics.




IOS Core Animation


Book Description

Core Animation is the technology underlying Apple's iOS user interface. By unleashing the full power of Core Animation, you can enhance your app with impressive 2D and 3D visual effects and create exciting and unique new interfaces. In this in-depth guide, iOS developer Nick Lockwood takes you step-by-step through the Core Animation framework, building up your understanding through sample code and diagrams together with comprehensive explanations and helpful tips. Lockwood demystifies the Core Animation APIs, and teaches you how to make use of Layers and views, software drawing and hardware compositing Layer geometry, hit testing and clipping Layer effects, transforms and 3D interfaces Video playback, text, tiled images, OpenGL, particles and reflections Implicit and explicit animations Property animations, keyframes and transitions Easing, frame-by-frame animation and physics Performance tuning and much, much more! Approximately 356 pages.




Hacking the PSP


Book Description

Provides information on getting the most out of a PSP, covering such topics as playing multiplayer games wirelessly, reading the comics, changing game backgrounds, and finding free downloads.




High Performance Images


Book Description