- A major portion of the information received by a human from the environment is visual.
- Processing visual information by computer is drawing a lot of attention by the researchers.
- However, the choice of technique is often based on subjective, visual judgment
- Hence, understanding Human Visual Perception
- VERYIMPORTANT !!!
The best vision model we have! Knowledge of how images for min the eye can help us with processing digital images.
- Sensors are use to transform illumination energy into digital images.
- Sensors are three types:
Single Imaging Sensor
Line sensor
Array Sensor
- When we multiply two images, we usually carry out array multiplication.
- An operator is said to be linear if it satisfies the properties of additivity and homogeneity.
- Image enhancement is the process of making images more useful.
- The reasons for doing this include:
Making images more visually appealing
Highlighting interesting details in images
Removing noise from images
- FREQUENCY refers to the RATE OF REPETITION of some periodic event.
- In imaging, SPATIAL FREQUENCY is the rate at which the brightness of an image changes with position in space.
- High spatial frequencies correspond to rapidly varying, fine detail; low spatial frequencies correspond to slowly changing brightness.
In Mathematics , transformations are often used to move an object from a place where it is hard to work with it to place where it is simpler
- The goal of image enhancement is to process a digital image and make it more “suitable” than the original image for a specific application.
- There are Two broad categories of Image Enhancement Approaches : a )Spatial Domain methods b) Frequency Domain methods
- An image is denoted by a function f(x,y).
- Each element f(x,y) at location (x,y) is called a pixel.
- There exist some basic but important relationships between pixels
- Sensors are used to transform illumination energy into digital images.
- Image enhancement is the process of making
images more useful.
The reasons for doing this include:
➢ Making images more visually appealing
➢ Highlighting interesting details in images
➢ Removing noise from images
