Volume 7 Issue 1 - May 2016

  • 1. Shearlet transform based satellite image denoising using optimized otsu threshold

    Authors : Anju T S, Nelwin Raj N R

    Pages : 361-368

    DOI : http://dx.doi.org/10.21172/1.71.051

    Keywords : DenoisingDiscrete Shearlet TransformOtsu ThresholdingArtificial Bee Colony (ABC) optimization

    Abstract :

    Satellite images have become universal standard in almost all applications of image processing. However, satellite images are mostly degraded due to the inaccuracy or limitations of the transmission and storage devices. Development of a denoising algorithm in satellite images is still a challenging task for many researchers. Most of the state of the art denoising schemes employ wavelet transform but the main limitation of wavelet transform is it can capture only limited information along different directions. Hence edges in an image get distorted. Shearlet transformation is a sparse, multiscale and multidimensional alternative to wavelet transform. Shearlet transform is optimal in representing image containing edges. In this paper, a novel image denoising algorithm utilizing shearlet transform and Otsu thresholding is presented which was found to exhibit superior performance among other state of the art image denoising algorithms in terms of peak signal to noise ratio (PSNR) and visual quality.

    Citing this Journal Article :

    Anju T S, Nelwin Raj N R, "Shearlet transform based satellite image denoising using optimized otsu threshold", https://www.ijltet.org/journal_details.php?id=901&j_id=3067, Volume 7 Issue 1 - May 2016, 361-368, #ijltetorg