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The SSIM index is a full reference metric; in other words, the measurement or prediction of image quality is based on an initial uncompressed or distortion-free image as reference. SSIM is a perception -based model that considers image degradation as perceived change in structural information, while also incorporating important perceptual ...
PDF.js is a JavaScript library that renders Portable Document Format (PDF) files using the web standards-compliant HTML5 Canvas. The project is led by the Mozilla Corporation after Andreas Gal launched it (initially as an experiment) in 2011.
PDF.js: Apache License 2.0: A JavaScript library to convert PDF files into HTML5, usable as a web-based viewer that can be included in web browsers. Firefox has PDF.js built-in by default. Qiqqa: Proprietary, freeware View PDFs in a variety of zoom layouts, annotate, tag, search, cross-reference. Utopia Documents: GNU GPL v3
Bio7 - an Integrated Development Environment for Ecological Modeling, Scientific Image Analysis and Statistical Analysis embedding ImageJ as an Eclipse view; Eclipse ImageJ Plugin - An plugin which integrates ImageJ in a flexible tabbed view interface and also offers a powerful macro editor with a debugging interface. [13]
Image analysis or imagery analysis is the extraction of meaningful information from images; mainly from digital images by means of digital image processing techniques. [1] Image analysis tasks can be as simple as reading bar coded tags or as sophisticated as identifying a person from their face .
Image quality assessment is part of the quality of experience measures. Image quality can be assessed using two methods: subjective and objective. Subjective methods are based on the perceptual assessment of a human viewer about the attributes of an image or set of images, while objective methods are based on computational models that can ...
The purpose of early image processing was to improve the quality of the image. It was aimed for human beings to improve the visual effect of people. In image processing, the input is a low-quality image, and the output is an image with improved quality. Common image processing include image enhancement, restoration, encoding, and compression.
Template matching [1] is a technique in digital image processing for finding small parts of an image which match a template image. It can be used for quality control in manufacturing, [2] navigation of mobile robots, [3] or edge detection in images.