Dec 5, 2018 · In this study, we develop a novel computational approach for solving the blind deconvolution problem by integrating the utilities of homomorphic domain and ...

Dec 8, 2018 · It is known that the homomorphic domain can be imposed on images by the logarithm operation that separates the image into the illumination and ...

In contrast, our work decomposes the blurred image into two main components using the homomorphic step. It is known that the homomorphic domain can be imposed ...

A key aspect of the proposed method lies in its ability to decompose a blurred image into two essential components: illumination and reflectance. This ...

Image deconvolution using homomorphic technique · Journal: Signal, Image and Video Processing, 2018, № 4, p. · Publisher: Springer Science and Business Media LLC.

A HOMOMORPHIC DECONVOLUTION TECHNIQUE FOR IMPROVED. ULTRASONIC IMAGING OF THIN COMPOSITE LAMINATES. Review of Progress in Quantitative Nondestructive Evaluation ...

Homomorphic filtering is a generalized technique for signal and image processing, involving a nonlinear mapping to a different domain.

Abstract. An approach to multi-channel blind deconvolution is developed, which uses an adaptive filter that performs blind source separation in the Fourier ...

The method is based on the homomorphic deconvolution technique, which is well-known for its performance in image restoration. A computer simulation of the ...

An inverse homomorphic system maps the average log spectrum to an estimate of the source function. The source function is then deconvolved from reflection ...