کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
462847 696911 2012 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Accelerating FPGA-based evolution of wavelet transform filters by optimized task scheduling
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر شبکه های کامپیوتری و ارتباطات
پیش نمایش صفحه اول مقاله
Accelerating FPGA-based evolution of wavelet transform filters by optimized task scheduling
چکیده انگلیسی

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.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Microprocessors and Microsystems - Volume 36, Issue 5, July 2012, Pages 427–438
نویسندگان
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