Abstract
A new algorithm of locally adaptive wavelet transform is presented. The algorithm implements the integer-to-integer lifting scheme. It performs an adaptation of the wavelet function at the prediction stage to the local image data activity. The proposed algorithm is based on the generalized framework for the lifting scheme that permits to obtain easily different wavelet coefficients in the case of the ( Ñ, N ) lifting. It is proposed to perform the hard switching between (2, 4) and (4, 4) lifting filter outputs according to an estimate of the local data activity. When the data activity is high, i.e., in the vicinity of edges, the (4, 4) lifting is performed. Otherwise, in the plain areas, the (2,4) decomposition coefficients are calculated. The calculations are rather simples that permit the implementation of the designed algorithm in fixed point DSP processors. The proposed adaptive transform possesses the perfect restoration of the processed data and possesses good energy compactation. The designed algorithm was tested on different images, The proposed adaptive transform algorithm can be used for image/signal compression and noise suppression.
Original language | English |
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Pages (from-to) | 623-630 |
Number of pages | 8 |
Journal | Proceedings of SPIE - The International Society for Optical Engineering |
Volume | 5203 |
DOIs | |
State | Published - 2003 |
Event | Applications of Digital Image Processing XXVI - San Diego, CA, United States Duration: 5 Aug 2003 → 8 Aug 2003 |
Keywords
- Image processing
- Lifting scheme
- Lossless compression
- Wavelets