TAILIEUCHUNG - Digital Image Processing: Image Restoration - Duong Anh Duc

Digital Image Processing: Image Restoration - Duong Anh Duc includes Image Restoration; Restoration vs. Enhancement; Degradation Model; Gaussian noise; Erlang(Gama) noise; Exponential noise; Impulse (salt-and-pepper) noise; Plot of density function of different noise models. | 5/14/2020 4:35:04 AM Duong Anh Duc - Digital Image Processing Digital Image Processing Image Restoration 5/14/2020 4:35:04 AM Duong Anh Duc - Digital Image Processing Image Restoration Most images obtained by optical, electronic, or electro-optic means is likely to be degraded. The degradation can be due to camera misfocus, relative motion between camera and object, noise in electronic sensors, atmospheric turbulence, etc. The goal of image restoration is to obtain a relatively “clean” image from the degraded observation. It involves techniques like filtering, noise reduction etc. 5/14/2020 4:35:04 AM Duong Anh Duc - Digital Image Processing Restoration vs. Enhancement Restoration: A process that attempts to reconstruct or recover an image that has been degraded by using some prior knowledge of the degradation phenomenon. Involves modeling the degradation process and applying the inverse process to recover the original image. A criterion for “goodness” is required that .

• Đồ họa - Thiết kế - Flash
• Digital Image Processing
• Image Restoration
• Degradation Model
• Gaussian noise
• Erlang(Gama) noise
• Exponential noise
• Image segmentation
• Lecture Digital image processing
• Digital images
• Digital computers
• Image processing
• Local processing
• Global processing
• Morphological image processing
• Autonomous machine applications
• Region growing
• Image digitization
• Theory of sampling
• Image transformation
• Image enhancement
• Image transform
• Image compression
• Dark image