Open Access Open Access  Restricted Access Subscription Access

A Review on Image Enhancement


Affiliations
1 Department of Computer Engineering, YCOE, Punjabi University, Patiala, Punjab, India
 

Over the many decades, there had been notable capability enhancements in Digital cameras together with resolution and sensitivity. Despite these enhancements, however, trendy digital cameras area unit still restricted in capturing high dynamic vary pictures in low-light conditions. Furthermore, dust storms are additionally climate occasions that are regularly experienced when driving in a few districts. A novel and effective haze removal approach to cure these issues created by confined light sources and color shifts, which subsequently accomplishes better restoration results for single hazy images. Poor visibility degrades quality and performance of computer vision algorithms for smart transportation frameworks, for example, traveling vehicle data recorders and traffic surveillance systems, activity observation frameworks which must operate under a wide range of weather conditions. Movement detection and Darkness are also problems in the captured images. The goal of this work is to enhance the road scene images using different filters and enhancement techniques. The distinctive sorts of parameters are figured that are PSNR, MD, MSE and Processing Speeds.

Keywords

PSNR, MD Images, HE, BBHE, DPC, RSWHE.
User
Notifications
Font Size

Abstract Views: 173

PDF Views: 0




  • A Review on Image Enhancement

Abstract Views: 173  |  PDF Views: 0

Authors

Kiranjeet Kaur
Department of Computer Engineering, YCOE, Punjabi University, Patiala, Punjab, India
Ashok Kumar Bathla
Department of Computer Engineering, YCOE, Punjabi University, Patiala, Punjab, India

Abstract


Over the many decades, there had been notable capability enhancements in Digital cameras together with resolution and sensitivity. Despite these enhancements, however, trendy digital cameras area unit still restricted in capturing high dynamic vary pictures in low-light conditions. Furthermore, dust storms are additionally climate occasions that are regularly experienced when driving in a few districts. A novel and effective haze removal approach to cure these issues created by confined light sources and color shifts, which subsequently accomplishes better restoration results for single hazy images. Poor visibility degrades quality and performance of computer vision algorithms for smart transportation frameworks, for example, traveling vehicle data recorders and traffic surveillance systems, activity observation frameworks which must operate under a wide range of weather conditions. Movement detection and Darkness are also problems in the captured images. The goal of this work is to enhance the road scene images using different filters and enhancement techniques. The distinctive sorts of parameters are figured that are PSNR, MD, MSE and Processing Speeds.

Keywords


PSNR, MD Images, HE, BBHE, DPC, RSWHE.