Adapted wavelet analysis from theory to software
Adapted wavelet analysis from theory to software
The lifting scheme: a construction of second generation wavelets
SIAM Journal on Mathematical Analysis
Face Recognition Using Evolutionary Pursuit
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
Solving Non-Markovian Control Tasks with Neuro-Evolution
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Handbook of Fingerprint Recognition
Handbook of Fingerprint Recognition
Space-Frequency Balance of Biorthogonal Wavelets
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
Nonlinear wavelet transforms for image coding via lifting
IEEE Transactions on Image Processing
Design of signal-adapted multidimensional lifting scheme for lossy coding
IEEE Transactions on Image Processing
Wavelet filter evaluation for image compression
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
A satellite image set for the evolution of image transforms for defense applications
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
Evolved transforms surpass the FBI wavelet for improved fingerprint compression and reconstruction
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
Targeted filter evolution for improved image reconstruction resolution
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Evolved transforms beat the FBI wavelet for improved fingerprint compression and reconstruction
SIP'07 Proceedings of the 6th Conference on 6th WSEAS International Conference on Signal Processing - Volume 6
Evolving better satellite image compression and reconstruction transforms
Proceedings of the 10th annual conference companion on Genetic and evolutionary computation
A differential evolution algorithm for optimizing signal compression and reconstruction transforms
Proceedings of the 10th annual conference companion on Genetic and evolutionary computation
Accelerated Neural Evolution through Cooperatively Coevolved Synapses
The Journal of Machine Learning Research
Evolutionary Cellular Automata Based-Approach for Edge Detection
WILF '07 Proceedings of the 7th international workshop on Fuzzy Logic and Applications: Applications of Fuzzy Sets Theory
Characteristics Preserving of Ultrasound Medical Images Based on Kernel Principal Component Analysis
Medical Imaging and Informatics
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
Image sets for the training of image processing systems
Proceedings of the 12th annual conference companion on Genetic and evolutionary computation
Evolutionary approach to improve wavelet transforms for image compression in embedded systems
EURASIP Journal on Advances in Signal Processing - Special issue on biologically inspired signal processing: analyses, algorithms and applications
Accelerating FPGA-based evolution of wavelet transform filters by optimized task scheduling
Microprocessors & Microsystems
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Wavelet-based image coders like the JPEG2000 standard are the state of the art in image compression. Unlike traditional image coders, however, their performance depends to a large degree on the choice of a good wavelet. Most wavelet-based image coders use standard wavelets that are known to perform well on photographic images. However, these wavelets do not perform as well on other common image classes, like scanned documents or fingerprints. In this paper, a method based on the coevolutionary genetic algorithm introduced in [11] is used to evolve specialized wavelets for fingerprint images. These wavelets are compared to the hand-designed wavelet currently used by the FBI to compress fingerprints. The results show that the evolved wavelets consistently outperform the hand-designed wavelet. Using evolution to adapt wavelets to classes of images can therefore significantly increase the quality of compressed images.