Lapped Directional Transform: A New Transform for Spectral Image Analysis

Dietmar Kunz, Til Aach

Abstract

We propose a new real-valued lapped transform for 2D-signal and image processing. Lapped transforms are particularly useful in block-based processing, since their intrinsically overlapping basis functions reduce or prevent block artifacts. Our transform is derived from the modulated lapped transform (MLT), which, as a real-valued and separable transform like the Discrete Cosine Transform, does not allow to unambiguously identify oriented structures from modulus spectra. This is in marked contrast to the (complex-valued) Discrete Fourier Transform (DFT). The new lapped transform is real-valued, and at the same time allows unambiguous detection of spatial orientation. Furthermore, a fast algorithm for this transform exists. As an application example, we investigate the transform's performance in spectral approaches to image restoration and enhancement in comparison to the DFT.

Original languageEnglish
Title of host publication1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258)
Number of pages4
Volume6
PublisherIEEE
Publication date01.01.1999
Pages3433-3436
ISBN (Print)0-7803-5041-3
DOIs
Publication statusPublished - 01.01.1999
EventProceedings of the 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing - Phoenix, United States
Duration: 15.03.199919.03.1999
Conference number: 55225

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