Image Enhancement By NAME - GAJENDRA KUMAR ID- 2011UIT1721
Image Enhancement
ByNAME - GAJENDRA KUMAR ID- 2011UIT1721
WHAT IS IMAGE ENHANCEMENT
Image enhancement is the process of adjusting digital images so that the results are more suitable for display for human eyes to get maximum information out of image.
WHAT IS IMAGE ENHANCEMENT
process of improving the quality of a digitally stored image by manipulating the image.
To improve the interpretability or perception of information in images for human viewers
HOW I.E. IS DONE
BY ADJUSTING:- Contrast- is the difference in luminance or color that
makes an objectIntensity- brightnessHue- the color of the lightSaturation- the degree of vividness (mix with
white)Density slicing Edges
EXAMPLES
Correcting non uniform illumination with morphological operators.
EXAMPLES…..
Enhancing gray scale images with histogram equalization.
EXAMPLES….
Deblurring images using a Wiener filter.
I. E. WITH MATLABI = imread('rice.png');imshow(I)
I. E. WITH MATLAB…
background = imopen(I,strel('disk',15));%Imopen=Morphological operations Erosion and dilation
I. E. WITH MATLAB
I2 = I - background;imshow(I2)
RESULT
BEFORE AFTER
I. E. TECHNIQUES
can be divided into two broad categories:
1. Spatial domain methods, which operate directly on pixels
2. frequency domain methods, which operate on the Fourier transform of an image.
SPATIAL DOMAIN METHODS
1. Grey scale manipulation2. Histogram Equalization3. Image Smoothing4. Neighbourhood Averaging5. Edge preserving smoothing6. Image sharpening7. High boost filtering
FREQUENCY DOMAIN METHODS
1. Filtering2. Homomorphic filtering3. Geometric Transformations