... ModelMultispectral images refer to image data with multiple spectral bands that exhibit inter-band cor-relations. An important class of multispectral images are color images with three spectral bands.Supposewe ... GraphicalModels and Image Processing,54(3), 181–186, 1992.[81] Tsai, R.Y. and Huang, T.S., Multiframe image restoration and registration, inAdvances inComputer Vision and Image Processing,vol. ... IntroductionDigitalimagesandvideo,acquiredbystillcameras,consumercamcorders,orevenbroadcast-qualityvideocameras,areusuallydegradedbysomeamountofblurandnoise.Inaddition,mostelectroniccamerashavelimitedspatialresolutiondeterminedbythecharacteristicsofthesensorarray.Commoncausesofblurareout-of-focus,relativemotion,andatmosphericturbulence.Noisesourcesincludefilmgrain,thermal,electronic,andquantizationnoise.Further,manyimagesensorsandmediahaveknownnonlinearinput-outputcharacteristicswhichcanberepresentedaspointnonlinearities.Thegoalofimageandvideo(imagesequence)restorationistoestimateeachimage(frameorfield)asitwouldappearwithoutanydegradations,byfirstmodelingthedegradationprocess,andthenapplyinganinverseprocedure.Thisisdistinctfromimageenhancementtechniqueswhicharedesignedtomanipulateanimageinordertoproducemorepleasingresultstoanobserverwithoutmakinguseofparticulardegradationmodels.Ontheotherhand,superresolutionreferstoestimatinganimageataresolutionhigherthanthatoftheimagingsensor.Imagesequencefiltering(restorationandsuperresolution)becomesespeciallyimportantwhenstillimagesfromvideoaredesired.Thisisbecausetheblurandnoisecanbecomeratherobjectionablewhenobservinga“freeze-frame”,althoughtheymaynotbevisibletothehumaneyeattheusualframerates.Sincemanyvideosignalsencounteredinpracticeareinterlaced,weaddressthecasesofbothprogressiveandinterlacedvideo.c1999byCRCPressLLCTheproblemofimagerestorationhassparkedwidespreadinterestinthesignalprocessingcommu-nityoverthe...