Advanced Techniques for Color Image Blind Deconvolution to Restore Blurred Images

Due to improper camera settings and atmospheric turbulence, captured scene images are usually degraded by blurring. Image restoration is the process of extracting a blurred image's original image. Image restoration is an articulate technique that facilitates the retrieval of original images in a one-step manner. First blind deconvolution is among the most significant restoration methods in which the blurring operator is not identified. Blind system deconvolution is a very complicated process that restores objects without knowing what they were like before they started to deteriorate PSF. The PSF is an impulse response of a point source. This paper introduces a novel approach of blind deconvolution for blurred color images. Here, first perform the degradation process, then use the Wiener filter to reduce the noise from the input blurred image using the degradation function. Then the restoration process is performed using blind deconvolution, involving the estimation of PSF kernels through a thresholding mechanism. Following this, deblurring can be carried out for different sizes of PSF images. The deblurred images are restored with some ringing effects. In conclusion, the Canny edge detector is utilized to reduce noise and achieve the optimal restored image. The cost of MSE and PSNR was calculated for each method and compared in the results.