Edge Preserved Satellite Image Denoising Using Median and Bilateral Filtering

  • Anju Asokan
  • J. Anitha
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1035)


The satellite images acquired from long distances are affected by different atmospheric disturbances such as noise and the image quality is degraded. The images thus require pre-processing to preserve the image quality for use in classification, fusion, segmentation etc. In the domain of image processing, analyzing the different noise types which affect the satellite images and also design the filter according to the affected noise is important. The existing filtering methods are capable of removing the noise in the image but is not much effective in preserving the image information such as edges, lines etc. This paper proposes a hybrid filtering technique for impulse noise removal. The hybrid filter comprises of a median filter which removes the impulse noise followed by a bilateral filter for edge preservation. The performance is studied based on the Peak Signal-to-Noise Ratio (PSNR), Mean Square Error (MSE), Feature Simillarity Index (FSIM), Structural Similarity Index (SSIM), Entropy and CPU time by comparing the results with existing denoising filters.


Satellite images Remote sensing Image denoising Median filter Bilateral filter 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Anju Asokan
    • 1
  • J. Anitha
    • 1
  1. 1.Department of Electronics and Communication EngineeringKarunya Institute of Technology and SciencesCoimbatoreIndia

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