Assessing Image Coding in the High to Nearly Visually Lossless Quality Range - Livestream

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 reduced storage. In this context, research and innovation in lossy image compression have steered towards methods capable of achieving high compression ratios without compromising the perceived visual quality of images. 

Subjective and objective visual quality assessment of images plays a fundamental role in defining quality as perceived by human observers. Although the field of image compression is constantly evolving towards efficient solutions for higher visual qualities, standardized subjective visual quality assessment protocols are still limited to those proposed in ITU-R Recommendation BT.500 and JPEG AIC standards. Similarly, objective image quality metrics often exhibit limited correlation with subjective quality scores across various distortion types and intensities, and little to no work has been devoted to assessing the performance of these metrics on images with compression artifacts in the high to nearly visually lossless quality range. 

This talk discusses the effectiveness of both subjective and objective image quality assessment methods on coding artifacts with higher visual quality. Moreover, ongoing solutions investigated in the context of the JPEG AIC activity are presented.

Speaker: Michela Testolina

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