6533b833fe1ef96bd129b673

RESEARCH PRODUCT

Application of Periodic Frames to Image Restoration

Amir AverbuchPekka NeittaanmäkiValery A. Zheludev

subject

symbols.namesakeTensor productPixelComputer scienceTight frameRandom noiseRandom lossGaussian functionsymbolsAlgorithmInfinite impulse responseImage restoration

description

In this chapter, we present examples of image restoration using periodic frames. Images to be restored were degraded by blurring, aggravated by random noise and random loss of significant number of pixels. The images are transformed by periodic frames designed in Sects. 17.2 and 17.4, which are extended to the 2D setting in a standard tensor product way. In the presented experiments, performances of different tight and semi-tight frames are compared between each other in identical conditions.

yearjournalcountryeditionlanguage
2014-01-01
https://doi.org/10.1007/978-94-017-8926-4_18