Having attractiveness in digital cameras, the digital image processing is getting more imperative nowadays. One of the most common problems facing with digital photography is noise and blurring that needs restoration. In this paper, we present a new method for image blind deconvolution [2]. The Proposed Method employs threshold based image restoration technique in blind image deconvolution. The...

The problem of input identiiability in blind deconvolution is considered, where the input belongs to a known discrete alphabet. Input identiiability is an algorithm independent property, which does not necessarily imply channel identiiability. Suucient conditions for input identiiability are derived in terms of algebraic relations on the observed output. It is shown how these new results relate...

Recovering an un-blurred image from a single motion-blurred picture has long been a fundamental research problem. If one assumes that the blur kernel – or point spread function (PSF) – is shift invariant, the problem reduces to that of image deconvolution. Image deconvolution can be further categorized as non-blind and blind. In non-blind deconvolution, the motion blur kernel is assumed to be k...