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.

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[20] Zuo C., Chen Q., Sui X., and Ren J., Brightness Preserving Image Contrast Enhancement using Spatially Weighted Histogram Equalization, The International Arab Journal of Information Technology, vol. 11, no. 1, pp. 25-32, 2014. Application of Framelet Transform and Singular Value Decomposition ... 649 Vidhya Rangasamy is an Associate professor at the Institute of Remote Sensing, Anna University, Chennai. She completed her B.E in Civil Engineering with Honors, M. Tech and Ph.D in Remote Sensing. She has 25 years of experience in teaching and Research. Her field of interest is in Remote Sensing data analysis, application to water resources. Sulochana Subramaniam is a Research scholar at Institute of Remote Sensing (IRS), Anna University, Chennai, India. She has completed M.Sc. physics and M. Tech in Remote Sensing and Wireless Sensor Networks. Her research interest includes image processing using wavelets, remote sensing, GIS and machine learning concepts. Vijayasekaran Duraisamy is a Research fellow at Institute of Remote sensing Anna University; he completed his Bachelor s degree in Botany and M.Sc in Remote sensing. He has 5 years of experience in research projects related to remote sensing and GIS. His field of interest includes remote sensing invasive ecology, Socio economic impacts of alien plants. Mohanraj Karuppanan is a Technical lead in Wipro Technologies, Bangalore, Karnataka, India. He completed B.E in Electrical Engineering and M.E in Computer Science. His research interest includes image processing, computer networks and telecom management solutions.