A Robust Algorithm for Enhancement ofRemotely Sensed Images Based onWavelet Transform

摘要

In the field of remote sensing, removing noise from images is still achallenging research in image processing. Generally there is no commonenhancement approach for noise reduction. Several approaches have beenintroduced and each has its own assumption, advantages and disadvantages. Thespeckle noise is usually found in the remote sensing images. This paper proposesan adaptive threshold method for image despeckling based on wavelet transform.The quality of the enhanced images in this paper is measured by the statisticalquantity measures: Peak Signal-to-Noise Ratio (PSNR), and Mean Square Error(MSE). Experimental results showed that the proposed method demonstrates animproved denoising performance over related techniques according to increasingof PSNR values and decreasing of MSE values of enhanced images.