Role Of Statistical Parameter In Digital Image Enhancement
Journal: International Journal of Advanced Networking and Applications (Vol.11, No. 04)Publication Date: 2020-02-03
Authors : Dhirendra Pal Singh;
Page : 4350-4353
Keywords : Mean Square Error(MSE); Signal to Noise Ratio(SNR); Structural Content(SC); Image Enhancement; Maximum Difference. Recall;
Abstract
There are several domains like medical, astronomical, hybrid techniques, remote sensing, pattern recognition, high resolution display etc., in which people want to get an image and store it so that the images may be used to extract some valuable information using image quality features in the future. Image quality estimation aims to evaluate the image information automatically by a computational model hence plays a significant role in digital image processing systems. In this paper to meet the need of accuracy and effectiveness for gray scale images, role of various image enhancement quality features are discussed.
Other Latest Articles
- Scientific Trends And Role Of Robots In The Agricultural Sector
- Efficient-Path Selection Scheme Using Optimized Adhoc On Demand Multipath Routing Protocol For Adhoc Networks
- Nakagami Fading Impact On The Performances Of VANET Routing Protocols In A Realistic Urban Area Setting
- Recovery And Concurrency Challenging In Big Data And NoSQL Database Systems
- Big Data With Column Oriented NOSQL Database To Overcome The Drawbacks Of Relational Databases
Last modified: 2020-08-07 19:54:49