AN IN-DEPTH ANALYSIS OF PREVIOUS-BASED DARK CHANNEL IMAGE DEHAZING

Authors

  • RANGAM ANUSHA Author
  • TAKKITI RAJASHEKAR REDDY Author

Keywords:

Image processing, Image Enhancement, Histogram Equalization (HE), Digital image processing

Abstract

Digital image processing (DIP) is the use of a digital computer to modify digital photographs. Visual communication is a subset of the larger realm of signals and frames, with an emphasis on visual aspects. The basic goal of the Digital Image Processing (DIP) field is to design and build a computing system capable of processing and manipulating visual input effectively. The system's input is a digital image, which is then processed using structured algorithms to yield an output image. Adobe Photoshop is one of the most well-known examples. This application is widely regarded as one of the most popular digital image processing tools. The goal of image enhancement is to improve the many components of a given image and highlight the prominent features. The goal of this investigation is to look into a variety of previously used approaches for multi-scale retinex, including histogram equalization and other well-established procedures.

Downloads

Published

2025-11-19

How to Cite

AN IN-DEPTH ANALYSIS OF PREVIOUS-BASED DARK CHANNEL IMAGE DEHAZING. (2025). International Journal of Animal Biodiversity, Conservation and Systematics ( IJABC), 5(2), 28-32. https://stanfordgroup.org/index.php/IJABC/article/view/8