Advances in image enhancement

Advances in image enhancement

Author
Chunwei Tian, Wenqi Ren and Yudong Liang
Publication Year
2023
Publisher
MDPI
Language
English
Document Type
Book
Faculty / Subject Heading
Computer Science

In the era of the internet of things, images have played important roles in human–computer interactions, and with the arrival of big data technology, people have higher requirements regarding image quality, especially for images collected in dark light. This can be addressed through the development of camera hardware quality, i.e., the resolution and exposure time of cameras, which may require high computational costs. As an alternative, image enhancement techniques can exact salient features to improve the quality of captured images according to the differences in diverse features, although they suffer from some challenges, i.e., a low contrast, artifacts, and overexposure, thus making it decidedly necessary to determine how to use advanced image enhancement techniques.


Keywords: Big data / Deep learning / Computer science / Image processing / Image segmentation / Sampling (Statistics) / Sidescan sonar / System design