## Abstract The fundamental problem of denoising and deblurring images is addressed in this study. The great difficulty in this task is due to the ill‐posedness of the problem. We analyze multi‐channel images to gain robustness and regularize the process by the Polyakov action, which provides an an
Blind deconvolution of noisy complex-valued image
✍ Scribed by B.L.K. Davey; R.G. Lane; R.H.T. Bates
- Publisher
- Elsevier Science
- Year
- 1989
- Tongue
- English
- Weight
- 324 KB
- Volume
- 69
- Category
- Article
- ISSN
- 0030-4018
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
The ill-conditioned inverse problem of estimating ultrasonic medium responses by deconvolution of RF signals is investigated. The primary difference between the proposed method and others is that the medium response function is assumed to be complex-valued rather than restricted to being real-valued
## Abstract The Rician distribution of noise in magnitude magnetic resonance (MR) images is particularly problematic in low signal‐to‐noise ratio (SNR) regions. The Rician noise distribution causes a nonzero minimum signal in the image, which is often referred to as the rectified noise floor. True