Browsing Engineering (Faculty of) by Subject "image coding"
Now showing items 1-2 of 2
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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 ... -
DCT-based Image/Video Compression: New Design Perspectives
(University of Waterloo, 2014-04-29)To push the envelope of DCT-based lossy image/video compression, this thesis is motivated to revisit design of some fundamental blocks in image/video coding, ranging from source modelling, quantization table, quantizers, ...