Digital Image Processing
What
is DIP?
DIP means,
processing digital images by means of a digital computer using math’s\signal
processing algorithms. Digital image (jpg, png, gif, video’s) is nothing but a
two dimensional array of pixels, basically a grid which contains RGB values. Images can be generated by using Electromagnetic
spectrum like visible light, X-rays, Gamma rays and also other waves like Acoustic
(ultrasound).
Why DIP?
Simple answer,
Automation & to Sense the information out of it.
a) You want to search your baby\most cherished
moment photos in the middle of hundreds of photos in your laptop instantly.
b) FBI wants to track a fugitive
criminal, they can scan automatically scan his photo against CCTVs across
airport, streets …
c) If Robots want to help humans in
automation, it has learn to recognize humans, objects, animals etc.
d) If you want to board airplane by just
showing your face, no more boarding pass. DIP scans your face, processes and
authenticates you.
e) Instagram, Snapchat all making money
because of DIP – filters
f) Robots, can quickly take the inventory
count for you.
The list goes
on…
Processes
inside DIP:
Inside Image
processing series of process goes on, you can transform images from grayscale
to color, apply filters, enhance the image color, delete a part of the images
etc. They are as follow:
- Image
Grabbing or acquisition
- Image
Preprocessing
- Image
Enhancement
- Image
Compression
- Image
Segmentation
- Image
Representation and feature extraction
- Image
Recognition and interpretation.
Image Compression, is a technique to compress and decompress the
images\videos, may be lossy or lossless.
Image segmentation is the process of
subdividing the given image into its constituent parts or objects. Basically identifying the
edges in the images.
Image Restoration is a process
that attempts to reconstruct or recover an image that has been degraded by
using a priori knowledge of the degradation phenomenon.
Conclusion:
Image
processing is part of parcel of modern human life. It started slowly with image
transfer from London to New York in 1920’s, later with the advancement of
computers, field of image processing is growing exponentially.
Image
processing can solve lot of problems, improve human living standards, automate
routine stuffs, etc.
References:
Digital Image Processing (3rd Edition) by Rafael C. Gonzalez, Richard E. Woods
