Enhancing Low-Light High-Dynamic-Range Image from Industrial Cameras Using Dynamic Weighting and Pyramid Fusion.

In order to solve the problem of imaging quality of industrial cameras for low-light and large dynamic scenes in many fields, such as smart city and target recognition, this study focuses on overcoming two core challenges: first, the loss of image details due to the significant difference in light distribution in complex scenes, and second, the coexistence of dark and light areas under the constraints of the limited dynamic range of a camera. To this end, we propose a low-light high-dynamic-range image enhancement method based on dynamic weights and pyramid fusion. In order to verify the effectiveness of the method, experimental data covering full-time scenes are acquired based on an image acquisition platform built in the laboratory, and a comprehensive evaluation system combining subjective visual assessment and objective indicators is constructed.

Skin Metabolic Signatures of Psoriasis and Psoriasis Concurrent with Metabolic Syndrome.

Purpose: Psoriasis is a complex inflammatory skin disorder that is closely associated with metabolic syndrome (MetS). Limited information is available on skin metabolic changes in psoriasis; the effect of concurrent MetS on psoriatic skin metabolite levels is unknown. We aimed to expand this information through skin metabolomic analysis.

A Bibliometric Analysis of Global Research Trends in Psoriasis and Metabolic Syndrome.

Background: Psoriasis is a frequent form of chronic inflammation in dermatology that is unmistakably linked to the metabolic syndrome (MetS) and its elements. This study was to explore the current status and new developments in the global research, and the holistic landscape of this field more intuitively through bibliometric analysis of scientific output and activity.

Methods: Publications regarding psoriasis and MetS were searched and chosen from the database of the Web of Science Core Collection.