Transcript of "Image degradation and noise by Md.Naseem Ashraf"
By Md.Naseem AshrafBE/5504/09IMAGE DEGRADATION&NOISEA Presentation for Digital Image ProcessingBirla Institute of Technology, Mesra, Extension Center - Patna
What is Image Degradation?Image degradation is said to occur when acertain image under goes loss of storedinformation either due to digitization orconversion (i.e algortithmic operations),decreasing visiual quality.
Image Degradation & RestorationModelThe initial image (source, f(x,y)) undergoes degradationdue to various operations, conversions and losses. Thisintroduces Noise. This Noisy Image is further restored viarestoration filters to make it visually acceptable for user.Degraded Image: = Degradation Function* Source + Noiseg(x,y) = h(x,y) * f(x,y) + n(x,y)
What is Noise?Image noise is random (not present in the object imaged)variation of brightness or color information in images, andis usually an aspect of electronic noise. It can be producedby the sensor and circuitry of a scanner or digital camera.Image noise can also originate in film grain and in theunavoidable shot noise of an ideal photon detector.Noisy Image Original Image
Some Important Noise ProbabilityDensity FunctionsGaussian NoiseSalt-and-Pepper (Impulse) NoisePoisson NoiseErlang (Gamma) NoiseExponential NoiseUniform Noise
Gaussian NoiseI = imread(eight.tif);J = imnoise(I,gaussian,0.02,0.1);figure, imshow(I)figure, imshow(J)Source Image Image with Gaussian NoiseMATLAB program for adding Gaussian Noise