Image denoising using non-local means for Poisson noise

A Dual Model for Restoring Images Corrupted by Mixture of Additive and Multiplicative Noise

“…Assume that f ∈ L ∞ (Ω) and 0 < inf Ω f, sup Ω f < +∞, then there exists a minimizer of the problem (29) in…”

“…where v : Ω → R denotes multiplicative noise, which follows some standard distribution such as Poisson [28], [29], Gamma [14], and Nakagami distributions [30]. The Aubert-Aujol (AA) variational model [14] is well-known for the case where v follows a Gamma distribution.…”

Various Types of Image Noise and De-noising Algorithm

“…Kousuke et.al [12] presents a picture de-noising strategy utilizing non-neighborhood implies for a picture with Poisson clamor. The weighting capacity in the proposed technique conform the weight parameter in view of the evaluated clamor quality from the pixels in a nearby area.…”

“…Since picture substance may change fundamentally in various areas inside a picture, one single de-noising channel for the entire picture might be do not fitting anymore. The hidden major of the proposed SFA is to choose a suitable channel to expel commotion in various locales inside a picture [11], [12]. This channel choice changes as indicated by the picture substance.…”

“…SFA had been contrasted and a few existing sifting strategies, for example, the resilience based particular number juggling mean separating strategy (TSAMFT) differentiate Upgrade based channel (CEF) and adjusted choice based unsymmetrical trimmed middle channel (MDBUTMF).The SFA moreover treats the salt and pepper clatters freely. See that the salt uproar (white spots) is all the all the more aggravating negligent areas in a photo, the HMF, which is awesome at emptying the salt tumult, is utilized [12]. On the other hand, in light of the way that the pepper hullabaloo (dull bits) is also horrible in the splendid regions [19], the CHMF that can well cover the pepper clatter is then used in the proposed SFA.…”