CAJ | 학술논문

为了改善红外图像的视觉效果,介绍了一种基于 FPGA 的红外图像自适应分段线性拉伸增强算法.该算法根据红外视频图像帧间的高度相关性和图像的特点,通过统计红外图像多级均值的方法估算图像灰度阈值,自适应地将图像分成背景灰度区间、过度灰度区间和目标灰度区间,最后对各部分区间采取不同的线性变换,获得最佳的视觉效果.该算法已在自主研发的红外手持观测仪上得到了应用,占用硬件逻辑资源少,实时性强,具有一定的应用价值.
위료개선홍외도상적시각효과,개소료일충기우 FPGA 적홍외도상자괄응분단선성랍신증강산법.해산법근거홍외시빈도상정간적고도상관성화도상적특점,통과통계홍외도상다급균치적방법고산도상회도역치,자괄응지장도상분성배경회도구간、과도회도구간화목표회도구간,최후대각부분구간채취불동적선성변환,획득최가적시각효과.해산법이재자주연발적홍외수지관측의상득도료응용,점용경건라집자원소,실시성강,구유일정적응용개치.
To improve the visual effect of infrared image, an adaptive piecewise linear enhance algorithm based on FPGA is introduced. According to high correlation between the frames of infrared video and the feature of infrared image, this algorithm calculates the threshold from statistics of multistage mean, adaptively divides image into background grayscale section, interim grayscale section and target grayscale section, then applies different linear grayscale transformation to every section in order to get the best visual effect. It has been proved that in infrared observation system developed ourselves, this algorithm cost less hardware resource, and fully satisfied the real-time, have a certain value of use.