Low quality medical images can lead to inaccurate interpretation and diagnosis. Therefore, it is important to understand radiologists' perception of distortions in visual content. In this study, 12 ...

[?]In recent years, the rapid advancement of Artificial Intelligence Generated Content (AIGC) has attracted widespread attention. Among the AIGC, AI generated omnidirectional images hold significant ...

In recent years, there have been notable advancements in text-to-image generation facilitated by artificial intelligence (AI) technology. Text-to-image generation requires higher-level cognitive ...

The Inventurus Knowledge Solutions stake, held by Rekha Rakesh Jhunjhunwala, trusts belonging to late Rakesh Jhunjhunwala's ...

In general, selecting an image format is crucial for deciding what kind of results to display in picture searches. Among the most significant discoveries about RAW and JPEG formats, this is. Even yet, ...

In observing images, the perception of the human visual system (HVS) is affected by both image contents and distortions. Obviously, the visual quality of the same image varies under different ...

You might think your self-image has nothing to do with how well you sleep, but your brain doesn’t see it that way. The relationship between how you perceive yourself and the quality of your rest ...

This paper presents the result of a recent large-scale subjective study of image retargeting quality on a collection of images generated by several representative image retargeting methods. Owning to ...

Blind image quality assessment (BIQA) is a useful but challenging task. It is a promising idea to design BIQA methods by mimicking the working mechanism of human visual system (HVS). The internal ...

Promoters of the company include Ashwini Gupta, Rekha Rakesh Jhunjhunwala, Rajeshkumar Radheshyam Jhunjhunwala, and Rajeev Purshottamdas Gupta. Through various trusts, such as the Nistha Jhunjhunwala ...

Various image enhancement algorithms are adopted to improve underwater images that often suffer from visual distortions. It is critical to assess the output quality of underwater images undergoing ...

Super-Resolution (SR) algorithms aim to enhance the resolutions of images. Massive deep-learning-based SR techniques have emerged in recent years. In such case, a visually appealing output may contain ...