Digital Image Restoration and Quality Enhancement

U diplomskom radu opisani su postupci za uklanjanje šuma i smanjenje zamućenja na digitalnoj slici. Opisani su osnovni (MF), Adaptivni (AMF), Izmjenični (SMF) i Modificiranim asimetričnim medijan filtrom baziranom na odlučivanju (MDBUTMF) i način na koji se koriste za uklanjanje šuma. Testiranjem na slikama na koje je dodan impulsni šuma utvrđeno je da najbolje rezultate uklanjanja šuma postiže adaptivni medijan filtar. Zamućenjem slika gubi na oštrini i detalji nestaju. U radu su opisani Inverzni, Iterativni i Wienerov filtar i njihova primjena za smanjenje zamućenja na slici. Najbolji rezultati smanjenja zamućenja prema PSNR i MSSSIM ocjeni dobiveni su primjenom Iterativnog filtra.The procedures described in this paperwork are for removing noise and reducing blur in a digital image . Described are Basic ( MF), Adaptive ( AMF ) , Switched median (SMF ) Modified Decision Based Unsymmetric Trimmed Median filter ( MDBUTMF ) and the way which it used to remove noise . Testing of pictures added with impulse noise has been found that the best results of removing noise achieved by adaptive median filter. When picture is damaged with blur , it loses sharpness and detail disappear. This paper describes the inverse, iteration and the Wiener filter and its application to reduce blur in the picture. The best results to reducing blur according to PSNR and MS - SSIM evaluation were obtained by using an iterative filte