image processing
DESCRIPTION
Image Processing is a technique to process image with various techniquesTRANSCRIPT
ByDeepan Raj I
Ajith Kumar V
Image processing
Manipulation and Analysis of Two Dimensional Pictures
Technique to enhance Raw images taken from normal day-to-day life for various applications
Overview of Image Processing
Analog Image processing Alteration of Image through Electrical means
Ex: Television image
Digital Image processing
Processing of Two Dimensional picture by a Digital computer
Ex: Digital computers
Image processing Methods
Advantages of Digital Image Processing :
Versatility
Repeatability
Preservation of original data precision
Various Image Processing Techniques
• Image analysis
• Image preprocessing
• Image enhancement
• Image data compression
• Image restoration
Extraction of meaningful information from an image
Provides the description of image
Done by reading the bar coded tags
Image analysis
Magnification
Reduction
Mosaic
Image preprocessing
Improve scale of display for visual understanding
Magnify image by a factor of 2, each pixel is replaced by a block 2x2 pixels
Magnification
mth row and mth column of the imagery is selected and is displayed
Another way is by taking mxm block and display the averages after proper rounding
1x0.33x
Reduction
Combining two or more image to form single large image
To get the synoptic view
Image Mosaic
Image 1Image Mosaic
Image 2
Contrast Stretching
Noise Filtering
Edge Enhancement
Image Enhancement
Images are homogeneous due to incorrect lighting of the scene
Different stretching techniques are developed to stretch the image
Contrast Stretching
Before After
Filters unnecessary information
It is interactive
Various filters are low pass, high pass, mean, median etc.,
Noise Filtering
Before After
Done by redefining the edges of the image
Before After
Edge enhancement
Lossy compressionlossy compression is a data encoding
method which discards (loses) some of the data, in order to achieve its goal
Lossless compressionLossless data compression is a class of
data compression algorithms that allows the exact original data to be reconstructed from the compressed data
Image data compression
Image restoration refers to removal or minimization of degradations in an image.
Image Restoration
Applications
Medical Field (CT,MRI) Astronomy(Telescopes)
Software(Photoshop) Printing(Color)
Security and Digital Rights Management(Water marking, biometrics)
One picture is worth more than 1000 words
THANK YOU