Information Theory and Coding for Image and Video Processing
Ofer Hadar
Abstract
Recent advances in image and video processing have been profoundly influenced by developments in information theory, source coding, and learning-based representations. Classical concepts such as entropy modeling, rate-distortion optimization, transform coding, and quantization are now being revisited in the context of deep learning, perceptual optimization, and large-scale multimedia systems. This Special Issue, “Information Theory and Coding for Image and Video Processing”, aimed to bring together high-quality contributions that explore both theoretical foundations and practical coding method
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