The Image The pixels in the image The mask The resulting image 255 X

Slides:

Advertisements

Similar presentations

Steve Cannistra, Light Halo Removal Light halos around stars can result from internal reflections.

Advertisements

Linear Subspaces - Geometry. No Invariants, so Capture Variation Each image = a pt. in a high-dimensional space. –Image: Each pixel a dimension. –Point.

These figures correspond to the image using shear =10 pixels And 2D convolution was done in order to get the images Using R=0 y0 Using R=1 y1.

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.

Y A S O O B A L I b o r n o n 1 9 t h F e b r u a r y i n K a n p u r d i s t r i c t o f U t t a r P r a d e s h. H e s t a r t e d s i n g i.

2002/02/18 20:25:00 20:25:45 Backprojection Grid 5-9, Pixel size [4.0,4.0], 64X64 Pixels Energy keV Contour =[1(blue),5(green),10,25,50,75(white)]%

 Introduction  Method  discussion  Image inpainting › The gold(goal) of our work is inpainting the damaged region. Image : I Inpainting Domain :

Enhanced images watermarking based on amplitude modulation Image and Vision Computing, 24 (2006), 111 – 119 Authors :T. Amornraksa, K. Janthawongwilai.

Original image: 512 pixels by 512 pixels. Probe is the size of 1 pixel. Picture is sampled at every pixel ( samples taken)

Chapter 6 Color Image Processing Chapter 6 Color Image Processing.

1 Image Filtering Slides by Steve Seitz. 2 Salvador Dali, “Gala Contemplating the Mediterranean Sea, which at 30 meters becomes the portrait of Abraham.

Image Filtering. Problem! Noise is a problem, even in images! Gaussian NoiseSalt and Pepper Noise.

Transparency Transparency (alpha, opacity) defines a pixel color’s visibility in a layer Every element imported into AE contains an opacity channel If.

Intro to RESPONSIVE DESIGN. Why? What?

Bars Removal by Multiview Images Team: YiChang Shih Hsin-Jung Yang Date: 05/11/ Final Project 1.

Creating With Code.

Stock Photo Links Pyramid Analytics Site Re-design.

Aim: How can we use Photoshop to sharpen edges in an image? Do Now: Open the image you worked with yesterday.

Stereogram Solver Katya Groisman. What is stereogram? Two-dimensional image, with an optic illusion of depth.

PImage. Let’s look at the PImage class in ProcessingPImage –What are the fields (i.e., variables)? –What methods are available? –What about the constructor---how.

Deepest Gratitude to Image Sources

Bibliography Images:

PhotoShop Basics Start > All Programs > Adobe Master Collection CS5> Adobe PhotoShop CS5.

Thresholding and Segmenting Objects The overall objective of image processing operations is to extract the objects of interest and to distinguish them.

Masks and Costumes.

Digital Image Processing Part 3 Spatial Domain Processing.

Observation vs. Inferences The Local Environment.

Images for reflection. Que

Image Enhancement by Spatial Domain Filtering

Image Filtering with GLSL DI1.03 蔡依儒. Outline Convolution Convolution Convolution implementation using GLSL Convolution implementation using GLSL Commonly.

Nebula Images. Nebula.

Aim: How can we make basic adjustments to layers?

Images were sourced from the following web sites: Slide 2:commons.wikimedia.org/wiki/File:BorromeanRing...commons.wikimedia.org/wiki/File:BorromeanRing...

HOW TO EDIT PHOTOS USE DETAILS AND BRUSH IN SNAPSEED?

physics-chemistry-interactive-flash-animation

Super-Resolution Image Reconstruction

Image #1 Image Analysis: What do you think is going on in this picture? Which person, thing, or event does this image relate to (which Word Wall term)?

Two-Dimensional Signal and Image Processing Chapter 8 - pictures

Morphological Image Processing

Presentation Zach Robertson.

Chapter 2: Digital Image Fundamentals

Fundamentals of Spatial Filtering

Image #1 Image Analysis: What do you think is going on in this picture? Which person, thing, or event does this image relate to (which Word Wall term)?

Chapter 5 Image Restoration.

Chapter 2: Digital Image Fundamentals

Chapter 10 Image Segmentation.

CS654: Digital Image Analysis

Fit2d pixel numeration in images Zoom range (1022,1022) to (1023,1023)

Resolution Resolution: 6 x 4.

Image #1 Image Analysis: What do you think is going on in this picture? Which person, thing, or event does this image relate to (which Word Wall term)?

Image #1 Image Analysis: What do you think is going on in this picture? Which person, thing, or event does this image relate to (which Word Wall term)?

Color Image Processing

255` 255 0/9 3/9

255` 255 0/9 3/9

tab to select objects 0/9 3/9

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.

Keep all images and text inside of the margins.

VENUS AND JUPITER.

1. Write all that you can about this image around the outside

255` 255 0/9 3/9

Intensity Transform Contrast Stretching Y ← u0+γ*(Y-u)/s

Keep all images and text inside of the margins.

Image #1 Image Analysis: What do you think is going on in this picture? Which person, thing, or event does this image relate to (which Word Wall term)?

Lecture 7 Spatial filtering.

255` 255 0/9 3/9

Image Enhancement in Spatial Domain: Neighbourhood Processing

Find the limit {image} ,024 2,160 -1,

Evaluate the integral {image}

Image #1 Image Analysis: What do you think is going on in this picture? Which person, thing, or event does this image relate to (which Word Wall term)?

Presentation transcript:

The Image The pixels in the image The mask The resulting image 255 X The Image The pixels in the image X 1/3 The mask The resulting image

The Image The pixels in the image The mask The resulting image 255 170 1/3 The Image The pixels in the image 170 X 0 x 255 + 1/3 x 255 + 0 x 255 + 0 x 0 + 1/3 x 0 + 0 x 0 = 170 The mask The resulting image

The Image The pixels in the image The mask The resulting image 255 170 1/3 The Image The pixels in the image 170 85 X 0 x 255 + 1/3 x 255 + 0 x 255 + 0 x 0 + 1/3 x 0 + 0 x 0 + 0 x 255 + 1/3 x 255 + 0 x 255 = 85 The mask The resulting image

The Image The pixels in the image The mask The resulting image 255 170 1/3 The Image The pixels in the image 170 85 0 x 0 + 1/3 x 0+ 0 x 0+ 0 x 0+ 1/3 x 0+ 0 x 0+ 0 x 255+ 1/3 x 255+ 0 x 255= 85 The mask The resulting image