This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
||||||||
|
Paper Details
Paper Title
A survey on Directional Anisotropy Structural Measurement (DASM) for analysing the quality of an image
Authors
  Dr.S.Subha,  S.Shrilakshmi
Abstract
An Objective of an Image Quality Assessment is to measure the difference between
distorted image and reference image (data set) using varieties of known properties of the
Human Visual System(HVS). There are two ways for assessing the quality subjective and
objective. An objective method is more friendly than subjective because most of the time
reference image is not available for comparison. It is also accurate due to its mathematical
comparison. Human Visual Perception is sensitive in extracting structural information from
an image, whose alternative complementary framework assessed is also based on degradation
of structural information. Full reference objective method is taken for analysis of structural
information. For quality assessment, Directional Anisotropy Structural Measurement is
proposed. In DASM, the quantitative measurement of gradient, Anisotropy, Local
Directionality is made and whose output performance is measured by comparing with
undistorted Image. The performance metrics considered here are Peak Signal to Noise Ratio
(PSNR), Structural Similarity Index (SSIM), Quality Score and it is simulated in MATLAB.
The effectiveness is verified by conducting experiments on six benchmark data bases.
Keywords- Image Quality Assessment (IQA), Human Visual System(HVS), Structural Similarity Index (SSIM), Structural Measurement, Directional Structural Anisotropy Measurement(DASM).
Publication Details
Unique Identification Number - IJEDR1901090Page Number(s) - 503-508Pubished in - Volume 7 | Issue 1 | March 2019DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Dr.S.Subha,  S.Shrilakshmi,   "A survey on Directional Anisotropy Structural Measurement (DASM) for analysing the quality of an image", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.7, Issue 1, pp.503-508, March 2019, Available at :http://www.ijedr.org/papers/IJEDR1901090.pdf
Article Preview
|
|
||||||
|