Text Attribute Noise Variation based Multi-Scale Image Analysis
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.
