CS654: Digital Image Analysis Lecture 17: Image Enhancement.

Slides:



Advertisements
Similar presentations
Types of Image Enhancements in spatial domain
Advertisements

Digital Image Processing
Image Processing Ch3: Intensity Transformation and spatial filters
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.
Chapter - 2 IMAGE ENHANCEMENT
Digital Image Processing
ECE 472/572 - Digital Image Processing
Intensity Transformations
Digital Image Processing
Image Enhancement by Modifying Gray Scale of Individual Pixels
Digital image processing Chapter 6. Image enhancement IMAGE ENHANCEMENT Introduction Image enhancement algorithms & techniques Point-wise operations Contrast.
Digital Image Processing In The Name Of God Digital Image Processing Lecture3: Image enhancement M. Ghelich Oghli By: M. Ghelich Oghli
Digital Image Processing
Chapter 3: Image Enhancement in the Spatial Domain
DREAM PLAN IDEA IMPLEMENTATION Introduction to Image Processing Dr. Kourosh Kiani
ECE 472/572 - Digital Image Processing Lecture 5 - Image Enhancement - Frequency Domain Filters 09/13/11.
Image Enhancement To process an image so that the result is more suitable than the original image for a specific application. Spatial domain methods and.
Digital Image Processing
1 Vladimir Botchko Lecture 4. Image Enhancement Lappeenranta University of Technology (Finland)
Chap. 3: Image Enhancement in the Spatial Domain Spring 2006, Jen-Chang Liu CSIE, NCNU.
Image Enhancement.
Digital Image Processing
Lecture 2. Intensity Transformation and Spatial Filtering
Chapter 3 Image Enhancement in the Spatial Domain.
ECE 472/572 - Digital Image Processing Lecture 4 - Image Enhancement - Spatial Filter 09/06/11.
University of Ioannina - Department of Computer Science Intensity Transformations (Point Processing) Christophoros Nikou Digital Image.
Chapter 3 Image Enhancement in the Spatial Domain.
Digital Image Processing Contrast Enhancement: Part I
CS6825: Point Processing Contents – not complete What is point processing? What is point processing? Altering/TRANSFORMING the image at a pixel only.
CS654: Digital Image Analysis
DIGITAL IMAGE PROCESSING
Intensity Transformations or Translation in Spatial Domain.
CS654: Digital Image Analysis Lecture 18: Image Enhancement in Spatial Domain (Histogram)
Digital Image Processing (DIP) Lecture # 5 Dr. Abdul Basit Siddiqui Assistant Professor-FURC 1FURC-BCSE7.
CS654: Digital Image Analysis Lecture 22: Image Restoration - II.
Digital Image Processing, 2nd ed. © 2002 R. C. Gonzalez & R. E. Woods  Process an image so that the result will be more suitable.
Chapter 5: Neighborhood Processing
CS654: Digital Image Analysis Lecture 30: Color Model Conversion.
Intelligent Vision Systems ENT 496 Image Filtering and Enhancement Hema C.R. Lecture 4.
Digital Image Processing EEE415 Lecture 3
Visual Computing Computer Vision 2 INFO410 & INFO350 S2 2015
Lightness filtering in color images with respect to the gamut School of Electrical Engineering and Computer Science Kyungpook National Univ. Fourteenth.
Remote Sensing Image Enhancement. Image Enhancement ► Increases distinction between features in a scene ► Single image manipulation ► Multi-image manipulation.
Digital Image Processing CSC331 Image Enhancement 1.
Digital Image Processing, 2nd ed. © 2002 R. C. Gonzalez & R. E. Woods.
Image Enhancement in Spatial Domain Presented by : - Mr. Trushar Shah. ME/MC Department, U.V.Patel College of Engineering, Kherva.
Lecture Reading  3.1 Background  3.2 Some Basic Gray Level Transformations Some Basic Gray Level Transformations  Image Negatives  Log.
Digital Image Processing Image Enhancement in Spatial Domain
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.
Digital Image Processing Lecture - 6 Autumn 2009.
Image Enhancement in the Spatial Domain.
Image enhancement algorithms & techniques Point-wise operations
IMAGE ENHANCEMENT TECHNIQUES
IMAGE PROCESSING INTENSITY TRANSFORMATION AND SPATIAL FILTERING
Digital Image Processing
Image Enhancement.
Intensity Transformations and Spatial Filtering
Fundamentals of Image Processing A Seminar on By Alok K. Watve
Image Enhancement in the Spatial Domain
Lecture 3 (2.5.07) Image Enhancement in Spatial Domain
CSC 381/481 Quarter: Fall 03/04 Daniela Stan Raicu
Digital Image Processing
Digital Image Processing
IT523 Digital Image Processing
IT523 Digital Image Processing
Image Enhancement in the Spatial Domain
Presentation transcript:

CS654: Digital Image Analysis Lecture 17: Image Enhancement

Recap of Lecture 16 Mask processing Spatial filtering Averaging Differentiation Correlation Convolution

Outline of Lecture 17 Image enhancement Dynamic range Point processing Contrast stretching Intensity level slicing

Introduction Improve the quality of an image as perceived by human being Can be performed at both spatial and frequency domain Different types of enhancement Noise suppression Increase contrast Sharpen or smoothen image feature Emphasise Display and analysis

Common techniques Image enhancement Point processing Spatial operationTransform operation Pseudocoloring Contrast stretching Noise clipping Window slicing Histogram modeling Noise smoothing Median filtering Unsharp masking Filtering Linear filter Root filter Homomorphic filter

Dynamic Range The ratio between the maximum and minimum measurable light intensities In the real world, one never encounters true white or black Image: cambridgeincolour

ILLUMINANCE & REFLECTIVITY Both contribute to the dynamic range of a scene Illuminance to specify only incident light Vast variation possible for incident light

Dynamic Range of Camera Black Level (Limited by Noise) White Level (Saturated) Darker White Level (Low Capacity) Cavity ArrayLight Cavities Image: cambridgeincolour

Human eye Weber ratio as a function of intensity HDR Images, Posterization Images: Gonzalez & Woods, 3 rd edition

Intensity transformation Images: Gonzalez & Woods, 3 rd edition Point processing

Images: Gonzalez & Woods, 3 rd edition Contrast stretching function 0255 Thresholding function 0255

Intensity transformation: Negative Transformation function Images: Gonzalez & Woods, 3 rd edition

Intensity transformation: Log-transform Transformation function Maps narrow low intensity to wider range of intensity Compresses the dynamic range of images Images: Gonzalez & Woods, 3 rd edition

Intensity transformation: Gamma Transformation function Fractional value maps narrow low intensity to wider range of intensity Higher value maps narrow low intensity to wider range of intensity Images: Gonzalez & Woods, 3 rd edition

Gamma correction: Display Images: Gonzalez & Woods, 3 rd edition Gamma corrected image as viewed in monitor Gamma correction Gamma corrected image Original image Input image as viewed in monitor

Gamma correction; Dark to light Images: Gonzalez & Woods, 3 rd edition Original image

Gamma correction: light to dark Images: Gonzalez & Woods, 3 rd edition

Contrast stretching Images: Gonzalez & Woods, 3 rd edition Spans the full range of intensity level Linear Thresholding

Contrast stretching Input imageContrast stretched image Thresholded image Images: Gonzalez & Woods, 3 rd edition

Gray-level slicing Highlight a specific range of gray values Without background With background

Example Input imageWithout backgroundWith background

Bit plane slicing Bit plane representation of 8 bit images

Reconstruction of images

Thank you Next lecture: Histogram Processing