A Novel Fuzzy Based Satellite Image Enhancement

  • Nitin SharmaEmail author
  • Om Prakash Verma
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 460)


A new approach is presented for the enhancement of color satellite images using the fuzzy logic technique. The hue, saturation, and gray level intensity (HSV) color space is applied for the purpose of color satellite image enhancement. The hue and saturation component of color satellite image are kept intact to preserve the original color information of an image. A modified sigmoid and modified Gaussian membership functions are used for the enhancement of the gray level intensity of underexposed and overexposed satellite images. Performance measures like luminance, entropy, average contrast and contrast enhancement function are evaluated for the proposed approach and compare with histogram equalization, discrete cosine transform (DCT) method. On comparison, this approach is found to be better than the recent used approaches.


Satellite image enhancement Singular value decomposition Contrast assessment function 


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Copyright information

© Springer Science+Business Media Singapore 2017

Authors and Affiliations

  1. 1.Maharaja Agrasen Institute of TechnologyRohini, DelhiIndia
  2. 2.Delhi Technological UniversityDelhiIndia

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