Automatic filter coefficient calculation in lifting scheme wavelet transform for lossless image compression
| Autor: | José Francisco Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa, Ignacio Hernández-Bautista, José Juan Carbajal-Hernández |
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| Rok vydání: | 2020 |
| Předmět: |
Discrete wavelet transform
Lossless compression Lifting scheme Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Wavelet transform Linear prediction Data_CODINGANDINFORMATIONTHEORY Computer Graphics and Computer-Aided Design Filter design Wavelet Entropy (information theory) Computer Vision and Pattern Recognition Algorithm Software |
| Zdroj: | The Visual Computer. 37:957-972 |
| ISSN: | 1432-2315 0178-2789 |
| DOI: | 10.1007/s00371-020-01846-0 |
| Popis: | In this paper, a new method for automatic filter coefficient calculation in lifting scheme wavelet transform for image lossless compression is proposed. Actually, there is no specific rule for setting filter coefficients (a, b). Therefore, this work proposes an automatic method to calculate the filter coefficients depending on the spectral analysis of each image. Also, filter coefficients are determined for five decomposition levels and for each quadrant through applying the discrete wavelet transform in the lossless image compression problem. Spectral patterns are computed and fixed into small length vectors for building different wavelet decomposition levels; these vectors are automatically computed using a 1-NN classifier. Experimental results over standard images show that calculating the wavelet filter coefficients using the proposed method generates higher compression rates (in entropy and bitstream values) against standard wavelet and linear prediction filters. |
| Databáze: | OpenAIRE |
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