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Stochastic distributed learning with gradient quantization and double-variance reduction

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On the Performance of Subjective Visual Quality Assessment Protocols for Nearly Visually Lossless Image Compression

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The past decades have witnessed rapid growth in imaging as a major form of communication between individuals. Due to recent advances in capture, storage, delivery and display technologies, consumers demand improved perceptual quality while requiring reduce ...

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Universal and adaptive methods for robust stochastic optimization

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Visual data play a crucial role in modern society, and the rate at which images and videos are acquired, stored, and exchanged every day is rapidly increasing. Image compression is the key technology that enables storing and sharing of visual content in an ...

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On the assessment of high-quality images: advances on the JPEG AIC-3 activity

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Recent advances in image compression have made it both possible and desirable for image quality to approach the visually lossless range. However, the most commonly used subjective visual quality assessment protocols, e.g. those reported in ITU-T Rec. BT.50 ...

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