CAJ | 학술논문

在分析常用的红外图像增强算法优缺点的基础上，针对红外图像的特点，提出了一种基于直方图的自适应红外图像增强算法。该算法设置了阈值和放大系数2个参数，根据阈值把图像直方图分为2部分，用放大系数和常数1分别代替直方图中两部分的灰度级像素数作为新的直方图，最后用新的直方图对图像进行直方图均衡化处理得到增强图像。通过在自主研发的热像仪中验证，表明该算法适应性强，增强效果好，算法简单，易于在FPGA硬件平台上实现。
재분석상용적홍외도상증강산법우결점적기출상，침대홍외도상적특점，제출료일충기우직방도적자괄응홍외도상증강산법。해산법설치료역치화방대계수2개삼수，근거역치파도상직방도분위2부분，용방대계수화상수1분별대체직방도중량부분적회도급상소수작위신적직방도，최후용신적직방도대도상진행직방도균형화처리득도증강도상。통과재자주연발적열상의중험증，표명해산법괄응성강，증강효과호，산법간단，역우재FPGA경건평태상실현。
Based on analysis of commonly used infrared image enhancing algorithms, a self-adaptive enhancement algorithm for infrared images based on histogram is given according to the character of infrared image. Threshold and magnifying coefficient are set for this algorithm. The histogram is divided into two parts according to threshold value. Then two histogram parts are replaced respectively by magnifying coefficient and 1 to get a new histogram. The enhanced image is achieved by histogram equalization algorithm with the new histogram. By application in self-developing thermal imager, it is proved that the algorithm which is easy to implement with FPGA has great adaptability,excellent image enhancing and real time performance.