In general, blind image
restoration is an ill-posed inverse problem which recovers the latent image from the blurred observation without any knowledge about the blurring process .
Second, an adaptive residual threshold for orthogonal matching pursuit (OMP) is proposed and used for sparse coding by combining blind image
Science, "A DWT-based robust semi blind image
watermarking algorithm using two bands", Electronic Imaging, 2006.
Then they consider such topics as spatially adaptive image restoration, perceptually motivated image restoration, blind image
deconvolution, detecting edges using model-based neural networks, the genetic optimization of feature representation for compressed-domain image categorization, and content-based retrieval.
For example, Blind Image
#66, 2004--not in this show--is a metallic structure more than eighteen feet high, painted black, at whose base is written: AT 9:02 A.
In this paper, we present a kind of estimation-based blind image
The crews at Blind Image
remove each blind, attach it to a mobile hydro-washing unit stationed outside and spray it with an antistatic cleaning solution.
For comparison, eight state-of-the-art general-purpose NR quality metrics are also tested, including Blind Image
Quality Index (BIQI) , Distortion Identification-based Image Verity and INtegrity Evaluation (DIIVINE) , BLind Image
Integrity Notator using DCT Statistics (BLIINDS-II) , Blind/Referenceless Image Spatial Quality Evaluator (BRISQUE) , Natural Image Quality Evaluator (NIQE) , Spatial-Spectral Entropy based Quality (SSEQ) , COdebook Representation for No-reference Image quality Assessment (CORNIA) , and Quality-Aware Clustering (QAC) .
This paper presents a method for blind image
deconvolution based on one of the best known algorithms in this domain called Richardson-Lucy.
Classical image restoration seeks an estimate of the true image assuming the blur is known, whereas blind image
restoration tackles the much more difficult but realistic problem where the degradations are unknown.
However, we think it is a first step towards application of so called blind image
analysis methods successfully used in many areas including biomedical image analysis .