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 language | English |
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Title of host publication | 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258) |
Number of pages | 4 |
Volume | 6 |
Publisher | IEEE |
Publication date | 01.01.1999 |
Pages | 3433-3436 |
ISBN (Print) | 0-7803-5041-3 |
DOIs | |
Publication status | Published - 01.01.1999 |
Event | Proceedings of the 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing - Phoenix, United States Duration: 15.03.1999 → 19.03.1999 Conference number: 55225 |