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Introduction to Digital Image Processing


           
                                                          Digital Image Processing

Image – a two-dimensional function f(x,y).
     
      Where, x and y = Spatial (plane) coordinates

Image is a 2-D array specifically arranged in rows and columns. 
            
Color image- It has 24 bit color depth = 8 x 8 x 8 bits = 256 x 256 x 256 colors = ~16 million colors



Grayscale image - In a (8-bit) grayscale image each picture element has an assigned intensity that ranges from 0 to 255. A grey scale image is not a black and white image, but includes many shades of grey.



Gray level of image - Amplitude of f at any pair of coordinates (x,y) .

Digital image - When x, y and the amplitude values of f are all finite, discrete quantities.
                          Digital image is composed of a finite number of elements, each of which has a particular location and value.

Pixel- the element of a digital image.




Field of digital image processing - Processing digital images by means of a digital computer
                                   Humans are limited to the visual band of the electromagnetic spectrum, imaging machine cover almost the entire electromagnetic spectrum, ranging from gamma to radio waves.

Image processing - Discipline in which both input and output of process are images.

Computer vision – To use computers to imitate human vision, including learning and being able to make inferences and take actions based on visual inputs.

Image analysis / Image understanding - The area in between image processing and computer vision.

Levels of Image processing-
1.       Low level processes - Image preprocessing to reduce noise, contrast enhancement, and image sharpening.
                Both its inputs and outputs are images.

2.       Mid level processes - Segmentation and classification.
         Its information sources for the most part are images, however its yields are characteristics (e.g., contours, edges etc.) extricated from those images. 

3.       High level processes- “making sense”  of an ensemble of recognized objects and performing cognitive functions normally associated with vision.
   
   Benefits of digital image processing-
  •  Pictorial information gets improved for human interpretation
  •     Improvement in processing of Image data for storage ,transmission and representation
  • Autonomous machine perception becomes easier




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