基于提升小波的红外图像去噪算法与实现

介绍了提升小波原理,以及把提升小波应用于红外图像去噪的算法.研究了提升小波的硬件实现方法,根据FPGA器件具有快速逻辑处理能力的特点,采用流水线的加法及桶状移位操作指令,设计了一种适合FPGA实现的提升小波图像去噪的硬件结构.实验结果表明,以FPGA来实现基于小波变换的图像去噪方法与传统方法相比,在速度方面得到了很大的提高.

Infrared Image De-Noising Algorithm and Architecture Based on Lifting Wavelet

The theory of lifting wavelet and the application of lifting wavelet to infrared image de-noising algorithm are introduced. Hardware implementation of lifting wavelet transform is investigated. According to the characteristic of field programmable gate array's(FPGA) fast logic handing ability, the architecture of image de-noising suitable for FPGA implementation designed in pipelined adder and barrel shifter is presented. The experiments show that compared with traditional method which using wavelet for image de-noising, the method based on FPGA has a great improvement in speed.