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Quasi-Circular Rotation Invariance in Image Denoising

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Title: Quasi-Circular Rotation Invariance in Image Denoising
Author: Wan, Yi; Nowak, Robert David
Type: Conference Paper
Keywords: wavelet based image denoising; translation invariant (TI); rotation invariant (RI)
Citation: Y. Wan and R. D. Nowak,"Quasi-Circular Rotation Invariance in Image Denoising," in IEEE International Conference on Image Processing,
Abstract: This paper studies a new method for wavelet-based image denoising which is translation invariant (TI) and rotation invariant (RI). These invariances are crucial in image denoising and, more generally, may play important roles in image modeling. In contrast to other approximately RI methods, like the steerable pyramid, our new method employs standard separable wavelet bases in conjunction with a pseudo-circular image rotation. This scheme does not involve interpolation and hence the observation model (likelihood function) is invariant under this rotation. The superiority of our new method with respect to existing TI (non-RI) techniques is supported by experiments.
Date Published: 1999-10-20

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  • ECE Publications [1046 items]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • DSP Publications [508 items]
    Publications by Rice Faculty and graduate students in digital signal processing.