Work

Underwater Image Enhancement with a Deep Residual Framework

Year: 2021

Type: article

Abstract: This paper focuses on framework developed with the goal to enhance the quality of underwater images using machine learning models for the Underwater Image enhancement system. It also covers the various technologies and language used in the development process using Python programming language. The developed system provides two major functionality such as feature to provide input as image or video and returns enhanced image or video depending upon user input type with focus on more image quality, sharpness, colour correctness etc.

Source: International Journal of Scientific Research in Science and Technology

DOI: 10.32628/ijsrst218428

Authors: Anuja Phapale, Puja Kasture, Keshav Katkar, Omkar Karale, Atal Deshmukh

Institutions: AISSMS Institute of Information Technology, Indian Institute of Information Technology, Pune

Language: English

Topic: Image Enhancement Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W3183974828

FWCI:

Cites: 6

Cited by: 1

Related to: 10