Sep 14, 2022 · We propose a deep-learned perceptual quality control approach, which can significantly improve the video quality and visual experience at the same bandwidth.

Experimental results on a large dataset show that our method achieves an average gain of 1.5dB on the salient regions without introducing an extra bandwidth ...

We propose a deep-learned perceptual quality control approach, which can significantly improve the video quality and visual experience at the same bandwidth.

Nov 1, 2022 · Experimental results on a large dataset show that our method achieves an average gain of 1.5dB on the salient regions without introducing an ...

Experimental results on a large dataset show that our method achieves an average gain of 1.5dB on the salient regions without introducing an extra bandwidth ...

Classical techniques are important, but recently, there has been a gradual shift to more deep learning-based techniques, greatly impacting all facets of VQA.

ABSTRACT: Blind image quality assessment is a challenging task particularly due to unavailability of reference information. Training a deep neural network.

Oct 17, 2024 · With the advancement of deep learning, many state-of-the-art. VQA models have adopted deep neural networks (DNN) to predict perceptual quality, ...

Oct 17, 2024 · This survey provides a systematic overview of both classical works and recent progress in the realm of video quality assessment.

Jul 18, 2024 · In this paper, we propose deep learning based JND and perceptual quality prediction models, which are able to predict the Satisfied User Ratio ( ...