Enhancing low-light images using Sakaguchi type function and Gegenbauer polynomial.

Enhancing low-light images is crucial for various applications in computer vision, yet current approaches often fall short in balancing image quality and detail preservation. This study introduces a novel method designed to enhance low-light images by applying advanced mathematical techniques from geometric function theory. Specifically, we employ Sakaguchi-type class functions, subordinated with the Gegenbeur polynomial, to derive coefficient estimations.

Enhancement of various images using coefficients obtained from a class of Sakaguchi type functions.

Digital image processing has a wide range of uses, including robotics and automated inspection of industrial parts. Other uses include remote sensing using satellites and other spacecraft, image transmission and storage for business applications, medical processing, and Acoustic image processing. The process of highlighting particular intriguing features in a hidden image is known as image enhancement.

A study on clinicodemographic profile, severity, and outcome of Covid-19 in hospitalized vaccinated individuals at tertiary care centre.

Objective: To evaluate the demographic profile, clinical severity, and outcome of Covid-19 infection in hospitalised vaccinated individuals.

Methods: An observational, cross-sectional study was conducted among Covid-19 infected hospitalised patients. Clinicodemographic profile, severity, and outcome of Covid-19 infection among the vaccinated group (VG) were recorded.

Immediate and antecedent causes of mortality in hospitalised Indian patients with COVID-19.

It is of interest to assess the immediate and antecedent causes of mortality amongst adult COVID-19 infected patients with or without comorbidities admitted in an exclusive COVID-19 hospital was conducted the between August 2020 to May 2021. The immediate and antecedent causes were collected from the medical certificate of cause of death (MCCD). Remaining data was extracted from the hospital's record.

An observational study on health-related quality of life and persistent symptoms in COVID-19 patients after hospitalization at a tertiary care centre.

Aim: The study aims to determine persistent symptoms and effects of COVID-19 infection on the quality of life (QOL) at 1 and 3 months after the acute phase of the disease in mild, moderate and severe cases.

Methods: The prospective observational study was conducted among patients with confirmed COVID-19 who had been treated and discharged after hospitalization from February 2021 to June 2021. All patients were interviewed at 1 and 3 months post discharge to assess persisting symptoms and health-related QOL.