NDLI: Wavelet based quality enhancement for medical images

Content Provider	IEEE Xplore Digital Library
Author	Josephine Sutha, V. Latha, P.
Copyright Year	2011
Description	Author affiliation: Computer Science & Enginnering, Sardar Raja college of Engineering, Tirunelveli (Josephine Sutha, V.) \|\| Computer Science & Enginnering, Government college of Engineering, Tirunelveli (Latha, P.)
Abstract	A New and efficient method using interval wavelets to assess image quality of medical image is presented in this paper. This new quality index is better suited to assess medical images; therefore it explicitly focuses on the image structure. We show that this new index outperforms other methods for the assessment of image quality in medical images. In this paper, one dimensional interval wavelet have been applied to analyse the effect of various objective quality factors like Mean Square Error (MSE), Peak Signal-to-Noise-Ratio (PSNR), Maximum Difference (MD), Normalised Correlation (NK), Mean Absolute Error (MAE) and the Structural content (SC). The results of experimental quality investigations were fall under acceptable quality boundaries and are presented. Also the result of the proposed method has been compared with the existing fractal image compression method.
Starting Page	277
Ending Page	280
File Size	355342
Page Count	4
File Format	PDF
ISBN	9781457721465
e-ISBN	9781457721496
DOI	10.1109/ICONRAEeCE.2011.6129790
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-15
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Maximum Difference PSNR Peak Signal-to-Noise-Ratio Fractals Structural content Mean Absolute Error Image reconstruction Interval wavelet Image quality Image coding Normalised Correlation Mean Square Error Medical image Quality measurements Medical diagnostic imaging
Content Type	Text
Resource Type	Article

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