Rajesh Sureddi
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View article: Perceptual Classifiers: Detecting Generative Images using Perceptual Features
Perceptual Classifiers: Detecting Generative Images using Perceptual Features Open
Image Quality Assessment (IQA) models are employed in many practical image and video processing pipelines to reduce storage, minimize transmission costs, and improve the Quality of Experience (QoE) of millions of viewers. These models are …
View article: TRIQA: Image Quality Assessment by Contrastive Pretraining on Ordered Distortion Triplets
TRIQA: Image Quality Assessment by Contrastive Pretraining on Ordered Distortion Triplets Open
Image Quality Assessment (IQA) models aim to predict perceptual image quality in alignment with human judgments. No-Reference (NR) IQA remains particularly challenging due to the absence of a reference image. While deep learning has signif…
View article: Deep No-Reference Tone Mapped Image Quality Assessment
Deep No-Reference Tone Mapped Image Quality Assessment Open
The process of rendering high dynamic range (HDR) images to be viewed on conventional displays is called tone mapping. However, tone mapping introduces distortions in the final image which may lead to visual displeasure. To quantify these …