Applications using nonlinear spectral processing

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


In this chapter, we show some image processing applications that use the spectral framework. These are related to denoising, texture processing, enhancement, and image fusion. This area is currently investigated and developed. A main theme is that following the image decomposition one can use very basic operations of attenuating, enhancing, and mixing certain spectral bands. Thus, a single framework with a solid theory can have very diverse applications, similar to classical linear transforms. The aim here is to give several interesting examples and to show the potential of using the nonlinear spectral formulations.

Original languageEnglish
Title of host publicationNonlinear Eigenproblems in Image Processing and Computer Vision
Number of pages13
StatePublished - 2018

Publication series

NameAdvances in Computer Vision and Pattern Recognition

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence


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