A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
SUSAN—A New Approach to Low Level Image Processing
International Journal of Computer Vision
Feature-Preserving Image Coding for Very Low Bit Rates
DCC '01 Proceedings of the Data Compression Conference
Feature preserving image compression
Pattern Recognition Letters
The contourlet transform: an efficient directional multiresolution image representation
IEEE Transactions on Image Processing
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
IEEE Transactions on Circuits and Systems for Video Technology
| Hi-index | 0.00 |
The Contourlet Transform (CT) can capture the intrinsic geometrical structure of an image. The CT is a redundant transform, and for coding applications this can be a disadvantage. In order to avoid the contourlet redundancy we change the pyramidal stage by a multiscale stage. The new non redundant transform is called: The Wavelet Based Contourlet Transform. We take the advantages offered by the new transform to build a novel feature preserving image coder. The preservation is made both: by a stage of feature definition and extraction and by a proposed modified version of the SPIHT coder. SPIHT modification allows selecting a transform coefficient not only by magnitude, but as pertaining to a feature of interest map. We present tests in order to demonstrate the good performance of the coder. Finally, we compare the results with other existing methods. The coder designed performs well even at very low bit rates.