Browsing Engineering (Faculty of) by Subject "image compression"
Now showing items 1-5 of 5
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Context Adaptive Space Quantization for Image Coding
(University of Waterloo, 2016-01-18)One of the most widely used lossy image compression formats in the world is JPEG. It operates by splitting an image into blocks, applying a frequency transform to each block, quantizing each transformed block, and entropy ... -
Deep SELECTOR-JPEG: ADAPTIVE JPEG IMAGE COMPRESSION FOR COMPUTER VISION IN IMAGE CLASSIFICATION AND HUMAN VISION
(University of Waterloo, 2021-01-18)Deep Neural Networks (DNNs) demonstrate excellent performance in many Computer Vision (CV) applications such as image classification. To meet storage/bandwidth requirements, the input images to these CV applications are ... -
Image/Video Compression: Human and Computer Vision Perspectives
(University of Waterloo, 2020-05-15)As we start a new decade, image and video compression should further improve to satisfy each of the human and computer visions. Human and computer visions have different perspectives on the perceived images and videos, ... -
Joint Compression and Watermarking Using Variable-Rate Quantization and its Applications to JPEG
(University of Waterloo, 2009-01-27)In digital watermarking, one embeds a watermark into a covertext, in such a way that the resulting watermarked signal is robust to a certain distortion caused by either standard data processing in a friendly environment ... -
A Scalable, Secure, and Energy-Efficient Image Representation for Wireless Systems
(University of Waterloo, 2004)The recent growth in wireless communications presents a new challenge to multimedia communications. Digital image transmission is a very common form of multimedia communication. Due to limited bandwidth and broadcast ...