deposit_your_work

Adaptive Weighted Highpass Filters Using Multiscale Analysis

Files in this item

Files Size Format View
Now1996Feb1AdaptiveWe.PDF 1.154Mb application/pdf Thumbnail
Now1996Feb1AdaptiveWe.PS 1.092Mb application/postscript View/Open

Show full item record

Item Metadata

Title: Adaptive Weighted Highpass Filters Using Multiscale Analysis
Author: Nowak, Robert David; Baraniuk, Richard G.
Type: Journal Paper
Keywords: Temporary
Citation: R. D. Nowak and R. G. Baraniuk, "Adaptive Weighted Highpass Filters Using Multiscale Analysis," IEEE Transactions on Image Processing, vol. 7, no. 7, pp. 1068-1074, 1998.
Abstract: In this paper, we propose a general framework for studying a class of weighted highpass filters. Our framework, based on a multiscale signal decomposition, allows us to study a wide class of filters and to assess the merits of each. We derive an automatic procedure to tune a filter to the local structure of the image under consideration. The entire algorithm is fully automatic and requires no parameter specification from the user. Several simulations demonstrate the efficacy of the method.
Date Published: 1998-07-01

This item appears in the following Collection(s)

  • ECE Publications [1082 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.