Out of focus multi-spectral image de-blurring using texture extraction and modified fourier transform

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 L-0 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.

Automated summary

The study proposes a framework for de-blurring out-of-focus multi-spectral images using texture extraction and modified Fourier transform. Texture is extracted using region covariance, and Fourier transform is modified by combining with the textures to minimize ringing artifacts and ensure edge preservation. The proposed scheme demonstrates advantages in edge preservation, noise reduction, and artifacts removal compared to existing schemes when applied to different multi-spectral images.