@inproceedings{3bde121031084ee2b28833756024370d,
title = "Novel evaluation index for image quality",
abstract = "Indexes used for image quality evaluation are provided as computational models to measure the quality of images in a perceptually consistent manner. This paper presents a novel evaluation index for assessing image qualities. The index is a modification of the existing traditional Structural Similarity Index Measure (SSIM) by adding another factor to reflect the shape of the brightness histogram of the assessed image. The proposed index therefore is a combination of four major factors luminance, contrast, structure and shape of histogram. This index is mathematically simple and applicable in various image processing. For demonstration a new image de-noising approach using an adaptive shrinkage threshold in the shearlet domain is used. Experimental results show that the new image quality indexes give better prediction accuracy, better prediction monotonicity than PSNR, HQI, UIQI and SSIM.",
keywords = "Image processing, Adaptive threshold, Evaluation of Image Quality, Kurtosis, Skewness, SSIM, UIQI",
author = "Islam, {Sheikh Md. Rabiul} and Xu HUANG and Kim LE",
year = "2014",
month = nov,
day = "25",
doi = "10.1109/DICTA.2014.7008120",
language = "English",
isbn = "9781479954094",
series = "2014 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2014",
publisher = "IEEE, Institute of Electrical and Electronics Engineers",
pages = "293--300",
editor = "Phung, {Son Lam} and Abdesselam Bouzerdoum and Philip Ogunbona and Wanqing Li and Lei Wang",
booktitle = "2014 International Conference on image Computing: Techniques and Applications (DlCTA),",
address = "United States",
note = "2014 International Conference on Digital Image Computing, Techniques and Applications, DICTA 2014 ; Conference date: 25-11-2014 Through 27-11-2014",
}