'Pepper noise' presentation slideshows

Digital Image Processing

Digital Image Processing. Chapter 5: Image Restoration. A Model of the Image Degradation/Restoration Process. Degradation Degradation function H Additive noise Spatial domain Frequency domain. Restoration. Noise Models. Sources of noise Image acquisition, digitization, transmission

1.38k views • 108 slides

Digital Image Processing

??????????. Digital Image Processing. Image Restoration (Chapter 5). H.R. Pourreza. Image Restoration. Image restoration vs. image enhancement Enhancement: largely a subjective process Priori knowledge about the degradation is not a must (sometimes no degradation is involved)

2.06k views • 76 slides

Digital Image Processing Chapter 5: Image Restoration 23 June 2006

Digital Image Processing Chapter 5: Image Restoration 23 June 2006. Concept of Image Restoration. Image restoration is to restore a degraded image back to the original image while image enhancement is to manipulate the image so that it is suitable for a specific application.

1.94k views • 62 slides

Computer Vision - Restoration

Computer Vision - Restoration. Hanyang University Jong-Il Park. Restoration vs. Enhancement. To improve an image in some predefined sense. Restoration. Enhancement. Objective process A priori knowledge on degradation model Modeling the degradation and applying the inverse process

556 views • 53 slides

Handling Outliers and Missing Data in Statistical Data Models

Handling Outliers and Missing Data in Statistical Data Models. Kaushik Mitra Date: 17/1/2011 ECSU Seminar, ISI. Statistical Data Models. Goal: Find structure in data Applications Finance Engineering Sciences Biological Wherever we deal with data Some examples Regression

738 views • 48 slides

Chapter 5

Chapter 5. Image Restoration. Preview. Goal: improve an image in some predefined sense. Image enhancement: subjective process Image restoration: objective process Restoration attempts to reconstruct an image that has been degraded by using a priori knowledge of the degradation process.

685 views • 48 slides

Chapter 5

Chapter 5. Image Restoration. Preview. Goal: improve an image in some predefined sense. Image enhancement: subjective process Image restoration: objective process Restoration attempts to reconstruct an image that has been degraded by using a priori knowledge of the degradation process.

488 views • 48 slides

Chapter 5

Chapter 5. Image Restoration. Preview. Goal: improve an image in some predefined sense. Image enhancement: subjective process Image restoration: objective process Restoration attempts to reconstruct an image that has been degraded by using a priori knowledge of the degradation process.

484 views • 48 slides

Image Restoration

Image Restoration. Image Restoration. Image restoration vs. image enhancement Enhancement: largely a subjective process Priori knowledge about the degradation is not a must (sometimes no degradation is involved)

502 views • 48 slides

Templates and Image Pyramids

09/05/13. Templates and Image Pyramids. Computational Photography Derek Hoiem, University of Illinois. Administrative stuff. Start working on project 1 (due Sept 16) Make sure you can get a project page up Can now complete first part (hybrid images ) Matlab /algebra tutorial

662 views • 45 slides

Variational Image Restoration

Variational Image Restoration. Leah Bar. PhD. thesis supervised by: Prof. Nahum Kiryati and Dr. Nir Sochen*. School of Electrical Engineering *Department of Applied Mathematics Tel-Aviv University, ISRAEL. What is image Restoration?.

576 views • 44 slides

Image Restoration : Noise Reduction

2.28k views • 41 slides

Image Restoration - Focus on Noise

Image Restoration - Focus on Noise. References. Gonzales and Wood second edition Jain. Enhancement - Restoration. Overview. Measured. From [1]. Unknown Approximation. Noise sources. Device noise (often thermal) Digitization process Sampling and quantization Transmission Environment.

352 views • 27 slides

Median Filtering

Median Filtering.

978 views • 26 slides

Digital Image Processing

581 views • 24 slides

The Fourier Transform

The Fourier Transform. Jean Baptiste Joseph Fourier. Image Operations in Different Domains. 3 X 3 Average. 5 X 5 Average. +. =. Original histogram. Equalized histogram. Noisy image (Salt & Pepper noise). Original image. Gradient magnitude. Blurry Image. Laplacian. Sharpened Image.

373 views • 22 slides

Image Processing

Image Processing. Image Restoration Part 1. What is Image Restoration?. Image restoration attempts to restore images that have been degraded by using a prior knowledge of the degradation phenomenon. Identify the degradation process and attempt to reverse it

636 views • 20 slides

Salt and pepper noise

371 views • 5 slides