摘要
针对高动态红外图像显示时不当压缩方法会造成图像细节的大量流失问题,提出了一种针对红外图像在动态压缩中细节增强算法。该方法使用双边滤波平滑图像,再采用自适应高斯滤波消除了梯度反转的现象。使用平台直方图对基频压缩,使用自适应的增益系数放大细节层抑制了噪声,叠加压缩后的基频和放大后的细节,得到细节增强后的8位处理图像。
High dynamic infrared image will lose many details because of inappropriate compression method when the image is shown,so this paper proposes a detail strengthen algorithm for the infrared image in dynamic compression.The method uses bilateral filtering to smooth the image,then uses self-adapted Gaussian filtering to remove gradient inversion,and uses platform histogram to compress base frequency,magnifies the detail to depress noise by means of a self-adaption gain coefficient,and superposes the compressed base frequency and the amplified detail to gain 8 bit processing image with enhanced details.
引文
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