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提出一种基于离散平稳小波变换和非线性增益的红外图像对比度增强方法。对红外图像进行离散平稳小波变换后,利用所提出的去噪方法对分辨率较好的各高频子带直接去噪;并利用所提出的非线性增益法结合文中的去噪法对分辨率较差的各高频子带进行增强。实验结果表明,提出的方法在有效地增强红外图像对比度的同时,又能很好地抑制相关噪声。算法在视觉质量上优于传统的反锐化掩膜法、直方图均衡法。
A contrast enhancement method based on discrete stationary wavelet transform and nonlinear gain is proposed. After performing discrete stationary wavelet transform on the infrared image, the proposed denoising method is used to directly denoise the high frequency subbands with good resolution. By using the proposed nonlinear gain method and the denoising method in the paper, Poor high frequency subbands are enhanced. The experimental results show that the proposed method can effectively reduce the contrast of infrared images and suppress the correlated noises well. The algorithm outperforms the traditional unsharp mask method in visual quality, and the histogram equalization method.