Adaptive embedded systems are required in various applications. This work addresses these needs in the
area of adaptive image compression in FPGA devices. A simplified version of an evolution strategy is utilized
to optimize wavelet filters of a Discrete Wavelet Transform algorithm. We propose an adaptive image compression system in FPGA where optimized memory architecture, parallel processing and optimized task scheduling allow reducing the time of evolution. The proposed solution has been extensively evaluated in terms of the quality of compression as well as the processing time. The proposed architecture
reduces the time of evolution by 44% compared to our previous reports while maintaining the quality of compression unchanged with respect to existing implementations. The system is able to find an
optimized set of wavelet filters in less than 2 min whenever the input type of data changes
