College of Physics, Changchun University of Science and Technology, Changchun 130022, China.
College of Electronic Information Engineering, Changchun University, Changchun 130022, China.
Sensors (Basel). 2022 Nov 11;22(22):8734. doi: 10.3390/s22228734.
The non-uniformity of the readout circuit response in the infrared focal plane array unit detector can result in fixed pattern noise with stripe, which seriously affects the quality of the infrared images. Considering the problems of existing non-uniformity correction, such as the loss of image detail and edge blurring, a multi-scale residual network with attention mechanism is proposed for single infrared image stripe noise removal. A multi-scale feature representation module is designed to decompose the original image into varying scales to obtain more image information. The product of the direction structure similarity parameter and the Gaussian weighted Mahalanobis distance is used as the similarity metric; a channel spatial attention mechanism based on similarity (CSAS) ensures the extraction of a more discriminative channel and spatial feature. The method is employed to eliminate the stripe noise in the vertical and horizontal directions, respectively, while preserving the edge texture information of the image. The experimental results show that the proposed method outperforms four state-of-the-art methods by a large margin in terms of the qualitative and quantitative assessments. One hundred infrared images with different simulated noise intensities are applied to verify the performance of our method, and the result shows that the average peak signal-to-noise ratio and average structural similarity of the corrected image exceed 40.08 dB and 0.98, respectively.
红外焦平面阵列单元探测器读出电路响应的不均匀性会导致条纹固定模式噪声，严重影响红外图像的质量。考虑到现有不均匀性校正方法存在图像细节丢失和边缘模糊等问题，针对单幅红外图像条纹噪声去除问题，提出了一种基于注意机制的多尺度残差网络。设计了一个多尺度特征表示模块，将原始图像分解成不同的尺度，以获取更多的图像信息。方向结构相似性参数与高斯加权马氏距离的乘积被用作相似性度量；基于相似性的通道空间注意机制（CSAS）确保了更具判别力的通道和空间特征的提取。该方法分别用于消除图像中的水平和垂直方向的条纹噪声，同时保留图像的边缘纹理信息。实验结果表明，该方法在定性和定量评估方面均优于四种最先进的方法。对 100 张具有不同模拟噪声强度的红外图像进行了验证，结果表明校正后图像的平均峰值信噪比和平均结构相似度分别超过 40.08 dB 和 0.98。
