Title: Elements of Visual Perception
1Elements of Visual Perception
- Dr. Jiajun Wang
- School of Electronics Information Engineering
- Soochow University
2Elements of Visual Perception
Outline
- Structure of the human eye
- Image formation in the human eye
- Brightness adaptation and discrimination
3Elements of Visual Perception
Structure of the human eye
- The cornea and sclera outer cover
- The choroid
- Ciliary body
- Iris diaphragm
- Lens
- The retina (two kinds of receptors)
- Cones vision (photopic/bright-light vision)
centered at fovea, highly sensitive to color - Rods (scotopic/dim-light vision) general view
- Blind spot
4Elements of Visual Perception
Structure of the human eye
5Elements of Visual Perception
Structure of the human eye
6Elements of Visual Perception
Image formation in the human eye
- Flexible lens the principle difference from an
ordinary optical lens. - Controlled by the tension in the fibers of the
ciliary body - To focus on distant objects flattened
- To focus on objects near eye thicker
- Near-sighted and far-sighted
7Elements of Visual Perception
Image formation in the human eye
Radiant Energy
8Elements of Visual Perception
Brightness adaptation
- Dynamic range of human visual system 10-6104 mL
(millilambert) - Can not accomplish this range simultaneously
- The current sensitivity level of the visual
system is called brightness adaptation level
9Elements of Visual Perception
Brightness adaptation
10Elements of Visual Perception
Brightness discrimination
- Weber ratio (the experiment)
- I the background illumination
- the increment of illumination
- Small Weber ratio indicates good discrimination
- Larger Weber ratio indicates poor discrimination
11Elements of Visual Perception
Brightness discrimination
12Elements of Visual Perception
Psycho-visual effects
- The perceived brightness is not a simple function
of intensity - Mach band pattern
- Simultaneous contrast
- Optical illusion
13Elements of Visual Perception
Mach band pattern
14Elements of Visual Perception
Simultaneous contrast
15Elements of Visual Perception
Optical illusion
16Elements of Visual Perception
Optical illusion
17Elements of Visual Perception
Optical illusion
18Sampling, Quantization and Other Simple Operations
- Dr. Jiajun Wang
- School of Electronics Information Engineering
- Soochow University
19Sampling, Quantization, and Operations
Outline
- Image formation model
- Uniform sampling
- Uniform quantization
- Digital image representation
- Relationships between pixels
- Arithmetic operations
- Logical operations
20Sampling, Quantization and Other Simple Operations
Image Formation Model
may be characterized by two components
Monochrome image
Illumination
Reflectance
Typical values of the illumination and
reflectance
Illumination sun on earth 90,000 lm/m2 on a
sunny day 10,000 lm/m2 on a cloud day moon on
clear evening 0.1 lm/m2 in a commercial office
is about 1000 lm/m2
Reflectance 0.01 for black velvet, 0.65 for
stainless steel, 0.80 for flat-white wall paint,
0.90 for silver-plated metal, and 0.93 for snow
21Sampling, Quantization, and Operations
Uniform sampling and quantization
- Sampling
- digitalized in spatial domain
- Quantization
- digitalized in amplitude
22Sampling, Quantization, and Operations
Uniform sampling and quantization
23Sampling, Quantization, and Operations
Digital image representation
24Sampling, Quantization, and Operations
Image resolution
- Spatial resolution the more pixels in a fixed
range, the higher the resolution - Gray-level resolution the more bits, the higher
the resolution
25Sampling, Quantization, and Operations
Image zooming and shrinking
- Both applied to digital image
- Zooming
- Creation of new pixel locations
- Assignment of gray levels to those new locations
- Pixel replication, when increasing the size of an
image an integer times - Nearest neighbor interpolation
- Bilinear interpolation
- Bicubic interpolation
- Shrinking
26Sampling, Quantization, and Operations
Bilinear Interpolation
27Sampling, Quantization, and Operations
Relationships between pixels
- Neighbors of a pixel
- 4-neighbors
- diagonal-neighbors
- 8-neighbors
- Adjacency
- 4-adjacency
- 8-adjacency
- m-adjacency
28Sampling, Quantization, and Operations
Relationships between pixels
29Sampling, Quantization, and Operations
Relationships between pixels
- Path 4, 8, and m-paths
- A sequence of distinct pixels from pixel p to q.
- Connectivity
- Connect set only has one connected component.
- Region
- Region is a connected set.
- Boundary
- The set of pixels in the region which has one or
more neighbors that are not in the region.
30Sampling, Quantization, and Operations
Arithmetic operations
- Addition
- Subtraction
- Multiplication
- Division
31Sampling, Quantization, and Operations
Logical operations
- AND
- OR
- Complement (NOT)
- XOR