Article Fingerprint
ReserarchID
CSTGVI372Z
For image reconstruction, the particular constant quantity of the received image should be same as original image with the given analysis. This paper implements an analysis algorithm, where the particular constant quantity are analysed via image texture leaning with an appropriate variable variation’s. In this paper, a three level decomposed multi-wavelet (3LMW)-based multi-scale image noise variation analysis scheme for image text attribute noise variation (TANV) and image analysis algorithm is proposed and the determination of the optimal 3LMW basis with respect to the proposed scheme is also discussed. The proposed method is applied to image noise variation analysis, and the experimental results validated its generality and effectiveness in multi-style image noise variation analysis.
S.Bhargav Kumar. 2015. \u201cText Attribute Noise Variation based Multi-Scale Image Analysis\u201d. Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 15 (GJCST Volume 15 Issue F2): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.
Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.
Total Score: 113
Country: India
Subject: Global Journal of Computer Science and Technology - F: Graphics & Vision
Authors: Dr. M.Ashok, Dr.T.Bhaskara Reddy, S.Bhargav Kumar (PhD/Dr. count: 2)
View Count (all-time): 274
Total Views (Real + Logic): 8120
Total Downloads (simulated): 2153
Publish Date: 2015 07, Wed
Monthly Totals (Real + Logic):
This paper attempted to assess the attitudes of students in
Advances in technology have created the potential for a new
Inclusion has become a priority on the global educational agenda,
For image reconstruction, the particular constant quantity of the received image should be same as original image with the given analysis. This paper implements an analysis algorithm, where the particular constant quantity are analysed via image texture leaning with an appropriate variable variation’s. In this paper, a three level decomposed multi-wavelet (3LMW)-based multi-scale image noise variation analysis scheme for image text attribute noise variation (TANV) and image analysis algorithm is proposed and the determination of the optimal 3LMW basis with respect to the proposed scheme is also discussed. The proposed method is applied to image noise variation analysis, and the experimental results validated its generality and effectiveness in multi-style image noise variation analysis.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.