Digital Image Processing Lecture - 6 Autumn 2009.

Slides:



Advertisements
Similar presentations
Basis beeldverwerking (8D040) dr. Andrea Fuster dr. Anna Vilanova Prof.dr.ir. Marcel Breeuwer Filtering.
Advertisements

HOW TO SHARPEN THE IMAGE NATHAN GRAVLEE. DIGITAL MEDIA What is this? – It make an image look for defined and hard-focused. It enhances detail! When do.
Spatial Filtering (Chapter 3)
Image Processing Lecture 4
CS & CS Multimedia Processing Lecture 2. Intensity Transformation and Spatial Filtering Spring 2009.
Chapter 3 Image Enhancement in the Spatial Domain.
Lecture 6 Sharpening Filters
Image Pre-Processing Image pre-processing (předzpracování obrazu) –transformations of the input image leading to noise reduction, image improvement or.
Digital Image Processing
Image Enhancement in the Spatial Domain II Jen-Chang Liu, 2006.
Digital Image Processing
Digital Image Processing In The Name Of God Digital Image Processing Lecture3: Image enhancement M. Ghelich Oghli By: M. Ghelich Oghli
Face Recognition and Biometric Systems 2005/2006 Filters.
Digtial Image Processing, Spring ECES 682 Digital Image Processing Oleh Tretiak ECE Department Drexel University.
6/9/2015Digital Image Processing1. 2 Example Histogram.
Chapter 4 Image Enhancement in the Frequency Domain.
Digital Image Processing
1 Vladimir Botchko Lecture 4. Image Enhancement Lappeenranta University of Technology (Finland)
2-D, 2nd Order Derivatives for Image Enhancement
Digital Image Processing, 2nd ed. © 2002 R. C. Gonzalez & R. E. Woods Chapter 3 Image Enhancement in the Spatial Domain Chapter.
Digital Image Processing, 2nd ed. © 2002 R. C. Gonzalez & R. E. Woods Chapter 3 Image Enhancement in the Spatial Domain Chapter.
Lecture 2. Intensity Transformation and Spatial Filtering
Gholamreza Anbarjafari, PhD Video Lecturers on Digital Image Processing Digital Image Processing Spatial Domain Filtering: Part II.
Chapter 4 Image Enhancement in the Frequency Domain.
Chapter 3 Image Enhancement in the Spatial Domain.
ECE 472/572 - Digital Image Processing Lecture 4 - Image Enhancement - Spatial Filter 09/06/11.
Spatial-based Enhancements Lecture 3 prepared by R. Lathrop 10/99 updated 10/03 ERDAS Field Guide 6th Ed. Ch 5: ;
Spring 2012Meetings 5 and 6, 7:20PM-10PM Image Processing with Applications-CSCI567/MATH563/MATH489 Lectures 8, 9, 10,11: Spatial Filtering 8. Linear Filters,
Computer Vision – Enhancement(Part II) Hanyang University Jong-Il Park.
This picture was taken on the banks of Sumatra Island (the height of waves was of approx. 32 m = 105 ft). It was found saved in a digital camera, 1 ½.
CS654: Digital Image Analysis Lecture 17: Image Enhancement.
Chapter 3 Image Enhancement in the Spatial Domain.
Pattern Recognition Mrs. Andleeb Y. Khan Lecture 03 BCS-VII.
Image Processing is replacing Original Pixels by new Pixels using a Transform rst uvw xyz Origin x y Image f (x, y) e processed = v *e + r *a + s *b +
CS654: Digital Image Analysis Lecture 18: Image Enhancement in Spatial Domain (Histogram)
Chapter 5: Neighborhood Processing
Digtial Image Processing, Spring ECES 682 Digital Image Processing Oleh Tretiak ECE Department Drexel University.
Image Enhancement ارتقاء تصویر Enhancement Spatial Domain Frequency Domain.
COMP322/S2000/L171 Robot Vision System Major Phases in Robot Vision Systems: A. Data (image) acquisition –Illumination, i.e. lighting consideration –Lenses,
Sharpening Filters To highlight fine detail or to enhance blurred detail. –smoothing ~ integration –sharpening ~ differentiation Categories of sharpening.
Digital Image Processing, 2nd ed. © 2002 R. C. Gonzalez & R. E. Woods.
Image enhancement using MATLAB Digital Image Processing 2014 Fall NTU 1.
Chapter 8 Computer Vision. Artificial IntelligenceChapter 92 Contents What is Image Processing? Digital Image Processing Electromagnetic Spectrum Steps.
Digital Image Processing, 2nd ed. © 2002 R. C. Gonzalez & R. E. Woods Chapter 3 Image Enhancement in the Spatial Domain Chapter.
Gholamreza Anbarjafari, PhD Video Lecturers on Digital Image Processing Digital Image Processing Spatial Domain Filtering: Part I.
Image Enhancement by Spatial Domain Filtering
Sharpening Spatial Filters ( high pass)  Previously we have looked at smoothing filters which remove fine detail  Sharpening spatial filters seek to.
Digital Image Processing Week V Thurdsak LEAUHATONG.
Lecture Seven Figures from Gonzales and Woods, Digital Image Processing, Copyright 2002.
Digital Image Processing Lecture 8: Image Enhancement in Frequency Domain II Naveed Ejaz.
Spatial Filtering (Chapter 3) CS474/674 - Prof. Bebis.
Image Enhancement in the Spatial Domain.
Image Subtraction Mask mode radiography h(x,y) is the mask.
Fundamentals of Spatial Filtering:
Digital Image Processing CSC331
Image enhancement algorithms & techniques Point-wise operations
IMAGE ENHANCEMENT TECHNIQUES
ECE 692 – Advanced Topics in Computer Vision
Math 3360: Mathematical Imaging
Digital Image Processing
Math 3360: Mathematical Imaging
Lecture 10 Image sharpening.
CIS 350 – 3 Image ENHANCEMENT SPATIAL DOMAIN
Image Enhancement in the Spatial Domain
Image Enhancement in the
Image Enhancement in the
Lecture 3 (2.5.07) Image Enhancement in Spatial Domain
Lecture 17 Figures from Gonzalez and Woods, Digital Image Processing, Second Edition, 2002.
Image Enhancement in the Spatial Domain
Image Enhancement in Spatial Domain: Neighbourhood Processing
Presentation transcript:

Digital Image Processing Lecture - 6 Autumn 2009

Images and Their Histograms

Before Histogram Equalization

Result of Histogram Equalization

Transformation Curves

Histogram Matching ► Objective:  Enhance the image such that it has desired histogram (after enhancement)  Inputs for histogram matching ► Input image ► Specified histogram

Histogram Equalization Example

Histogram Matching

Filtering in Spatial Domain

Filter Mask

Smoothing Filter

Diminishing Small Objects

Non Linear Smoothing Filters

Sharpening Filters: Derivative Operators

Laplacian Operator

Sharpening the Image

Un-Sharp Masking

Hi-Boost Filtering

Un-sharp Masking vs Hi-boost Filtering

1 st Order Derivative

Combining Spatial Enhancement Methods

Feedback: Privacy Policy Feedback
Do Not Sell My Personal Information
About project: SlidePlayer Terms of Service

© 2024 SlidePlayer.com Inc. All rights reserved.