CS 450: Introduction to Digital Signal and Image Processing

1
CS 450 Introduction to Digital Signal and Image
Processing

• Introduction and Applications

2
What are Signals?

• Signal a function carrying information
• Examples
• Audio
• Radio/Television
• Images

3
Why Signals?

• Communications
• Modems/Networks/Wireless
• Audio
• Images
• Restoration/Cleanup
• Enhancement
• Storage/Retrieval/Searching
• Manipulation

4
Why Digital?

• Perfect storage, transmission, reproduction
• Easier to manipulate
• Analog signals manipulated by circuits
• Digital signals manipulated by computer

5
Why Now?

• Memory is cheap
• Disk storage is plentiful
• Bandwidth increasing

6
Applications

• Multimedia (just look at the web!)
• Interactive image tools
• Medical imaging
• Compression
• Document Processing
• Image libraries (storage and retrieval)

7
Kinds of Operations (What Well Cover)

• Level (brightness) operations
• Algebraic and logical operations
• Filtering
• Spatial
• Frequency-based
• Sampling
• Restoration/Reconstruction
• Noise removal
• Sharpening
• Geometric transformations
• Color processing
• Compression

8
Relationship to Other FieldsIP, Graphics, and
Vision

• Image Processing Images to Images
• Computer Graphics Descriptions to Images
• Computer Vision Images to Descriptions

All three are interrelated!
9
Examples Image Processing, Graphics, and Vision

• Volume rendering for medical applications
• Clean up the image(image processing)
• Separate the regions of interest (computer
  vision - segmentation)
• Render(graphics)

10
Examples Image Processing, Graphics, and Vision

• Image-Based Rendering
• Use images and analysis of content (vision) to
  render new images (graphics)

11
BYU Research

• Intelligent segmentation tools (Dr. Barrett)
• Scissors (edges)

12
BYU Research

• Intelligent segmentation tools (Dr. Barrett)
• Paint (regions)

13
BYU Research

• Other interactive tools
• Level-set (Dr. Morse)
• Object-based editing (Dr. Barrett)
• Re-lighting (Dr. Barrett)

14
BYU Research

• Terrain modeling and rendering (Drs. Egbert and
  Barrett)

15
BYU Research

• Morphing (Dr. Sederberg)

16
BYU Research (Image-Processing Based)

• Creation of virtual environments (all)
• Registration/viewing of multiresolution imagery
  (Dr. Morse)
• Resolution enhancement (Drs. Morse and Sederberg)
• Color quantization (Drs. Morse and Barrett)
• Digital libraries (Drs. Morse and Barrett)
• Genealogical databases (Dr. Barrett others)
• OCR, compression, form recognition, indexing,
  online browsing, etc.)
• Compression (Drs. Morse and Barrett)
• Plus lots of rendering, shape modeling, etc