PDE Based Unsharp Masking, Crispening and High Boost Filtering of Digital Images

  • Rajeev Srivastava
  • J. R. P. Gupta
  • Harish Parthasarthy
  • Subodh Srivastava
Part of the Communications in Computer and Information Science book series (CCIS, volume 40)


A partial differential equation (PDE) based technique is proposed and implemented to perform unsharp masking, crispening and high boost filtering of digital images. The traditional concept of unsharp masking and crispening of edges which uses Laplacian as intermediate step for smoothening the image has been extended and modified using the idea of Perona and Malik [1] which overcomes the disadvantages of Laplacian method. For descretization, finite differences scheme has been used. The scheme has been implemented using MATLAB 7.0 and performance is tested for various gray images of different resolutions and the obtained results justify the applicability of proposed scheme.


Unsharp filter Crispenening Sharpening of images Laplacian PDE High Boost Filtering 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Rajeev Srivastava
    • 1
  • J. R. P. Gupta
    • 2
  • Harish Parthasarthy
    • 2
  • Subodh Srivastava
    • 3
  1. 1.Department of Computer EngineeringInstitute of TechnologyVaranasiIndia
  2. 2.Netaji Subhas Institute of Technology, Sector-3, DwarkaNew DelhiIndia
  3. 3.UNSIETIndia

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