International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 122

Survey Paper | Computer Science & Engineering | India | Volume 4 Issue 7, July 2015


Survey on Image Quality Assessment Techniques

Sejal Patil | Shubha Sheelvant [2]


Abstract: Biometrics defines the skills that point and examine human body exteriors. Which is used to identify the person on their behavioral and biological distinguishing (for example key-stroke, fingerprint, face, iris, signature, etc. ). Calculating quality of an image is fundamental problem in image and video handling, and various methods have been projected for image quality assessment (IQA). Quality of an image can be dignified in two ways subjective IQA and objective IQA method. Objective method is friendly than subjective method because most of the time the reference image is not available for the comparison. This paper presents a survey on the current image quality assessment Methods.


Keywords: Image Quality Assessment IQA, objective & subjective method, other methods


Edition: Volume 4 Issue 7, July 2015,


Pages: 1756 - 1759


How to Download this Article?

You Need to Register Your Email Address Before You Can Download the Article PDF


How to Cite this Article?

Sejal Patil, Shubha Sheelvant, "Survey on Image Quality Assessment Techniques", International Journal of Science and Research (IJSR), Volume 4 Issue 7, July 2015, pp. 1756-1759, https://www.ijsr.net/get_abstract.php?paper_id=SUB156863

Similar Articles with Keyword 'methods'

Downloads: 0

Research Paper, Computer Science & Engineering, India, Volume 11 Issue 5, May 2022

Pages: 885 - 888

Image Based Steganography

Bheeshma Rao J | Ujwal Sai Satya Jorige | Sai Praneetha Katragadda | Pradeep Kumar .V

Share this Article

Downloads: 0

Research Paper, Computer Science & Engineering, India, Volume 12 Issue 1, January 2023

Pages: 404 - 407

Detection of Stroke Disease Using Machine Learning

Kavyashree CC | Srividya A | Pavithra S [2] | Mohammed Salamath [3] | Priyanka M N

Share this Article
Top