Application of Framelet Transform and Singular Value Decomposition to Image Enhancement
Journal: The International Arab Journal of Information Technology (Vol.15, No. 4)Publication Date: 2018-07-01
Authors : Sulochana Subramaniam; Vidhya Rangasamy; Vijayasekaran Duraisamy; Mohanraj Karuppanan;
Page : 644-649
Keywords : Generalised histogram equalization; SVD; discrete wavelet transform; framelet Transform; PSNR; SSIM; UQI.;
Abstract
In this paper, a new satellite image enhancement technique based on framelet transform and Singular Value Decomposition (SVD) has been proposed. Framelet transform is used to decompose the image into one low frequency subband and eight high frequency subbands. The enhancement is done with regard of both resolution and contrast. To increase the resolution, low and high frequency subbands have been interpolated. In intermediate stage, estimating high frequency subbands has been proposed to achieve sharpness. All the subbands are combined by inverse framelet transform to get the high resolution image. To increase the contrast, framelet transform is combined with SVD. Singular values of the low frequency subband are updated and inverse transform is performed to get the enhanced image. The proposed technique has been tested on satellite images. The quantitative measures such as Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index Measure (SSIM), Universal Quality Index (UQI), Entropy, Quality_ Score are used and the visual results show the
superiority of the proposed technique over the conventional and state-of-art image enhancement techniques. The time complexity indicates the proposed image enhancement is suitable for further image processing applications.
Other Latest Articles
- A Robust Blind Watermarking Scheme for Ownership Assertion of Multi-band Satellite Images
- Design and Development of Suginer Filter for Intrusion Detection Using Real Time Network Data
- Intelligent Replication for Distributed Active RealTime Databases Systems
- Overview of Automatic Seed Selection Methods for Biomedical Images Segmentation
- A New Chaos-Based Image Encryption Algorithm
Last modified: 2019-04-30 18:03:39