Ten lectures on wavelets
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
JPEG 2000: Image Compression Fundamentals, Standards and Practice
JPEG 2000: Image Compression Fundamentals, Standards and Practice
Effective image compression using evolved wavelets
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
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
A differential evolution algorithm for optimizing signal compression and reconstruction transforms
Proceedings of the 10th annual conference companion on Genetic and evolutionary computation
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
Can evolved forward transforms do better than wavelets
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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In this paper, we describe how an evolution strategy optimizes multiresolution analysis (MRA) transforms that outperform wavelets for satellite image compression and reconstruction under conditions subject to quantization error. At three multiresolution levels and 64:1 quantization, our best evolved transform reduces mean squared error (MSE) in reconstructed images by an average of 11.71% (0.54 dB) in comparison to the 9/7 Cohen-Daubechies-Feauveau (CDF) wavelet, while continuing to match the 9/7's compression capabilities. This result establishes a new state-of-the-art for quantized digital satellite images.