A Robust Algorithm for Enhancement of Remotely Sensed Images Based on Wavelet Transform
暂无分享,去创建一个
In the field of remote sensing, removing noise from images is still a challenging research in image processing. Generally there is no common enhancement approach for noise reduction. Several approaches have been introduced and each has its own assumption, advantages and disadvantages. The speckle noise is usually found in the remote sensing images. This paper proposes an adaptive threshold method for image despeckling based on wavelet transform. The quality of the enhanced images in this paper is measured by the statistical quantity measures: Peak Signal-to-Noise Ratio (PSNR), and Mean Square Error (MSE). Experimental results showed that the proposed method demonstrates an improved denoising performance over related techniques according to increasing of PSNR values and decreasing of MSE values of enhanced images.
[1] P. Berens. Introduction to Synthetic Aperture Radar (SAR) , 2006 .
[2] G. R. Suresh,et al. Speckle Noise Reduction in Ultrasound Images by Wavelet Thresholding based on Weighted Variance , 2009 .
[3] Manuel Rosa-Zurera,et al. Wavelet denoising with edge detection for speckle reduction in SAR images , 2007, 2007 15th European Signal Processing Conference.