Multi-spectralimages suffers from out-of-focusblur due to well focused camera at the reference imaging channel. A framework for out-of-focus images de-blurring using texture extraction and modified Fourier transform is proposed. The texture is extracted from the blurred image using region covariance. Fourier transform is modified by modification of guided image (as prior) using L₀ gradient projection followed by detail amplification which is used as an input for Fourier transform. For further enhancement, the multi-spectral de-blurred images are smooth, and ringing artifacts are minimized by combining with the textures extracted to ensure maximum edge preservation. Comparison of proposed and existing schemes on different multi-spectral images explains the advantage of the proposed scheme for de-blurring in terms of edge preservation, noise and artifacts removal.

由于相机在参考成像通道处聚焦良好，因此多光谱图像会出现焦外模糊的问题。提出了一种利用纹理提取和改进的傅里叶变换对离焦图像进行模糊处理的框架。使用区域协方差从模糊图像中提取纹理。通过使用L ₀修改引导图像（如先前）来修改傅里叶变换梯度投影，然后进行细节放大，用作傅立叶变换的输入。为了进一步增强效果，多光谱去模糊的图像很平滑，并且通过与提取的纹理结合以确保最大程度的边缘保留，使振铃伪影最小化。在不同的多光谱图像上比较提议的方案和现有方案，可以从边缘保留，噪声和伪影去除方面解释所提议方案的优势。