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Image Enhancement By NAME - GAJENDRA KUMAR ID- 2011UIT1721
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Page 1: Image enhansement

Image Enhancement

ByNAME - GAJENDRA KUMAR ID- 2011UIT1721

Page 2: Image enhansement

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.

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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

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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

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EXAMPLES

Correcting non uniform illumination with morphological operators.

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EXAMPLES…..

Enhancing gray scale images with histogram equalization.

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EXAMPLES….

Deblurring images using a Wiener filter.

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I. E. WITH MATLABI = imread('rice.png');imshow(I)

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I. E. WITH MATLAB…

background = imopen(I,strel('disk',15));%Imopen=Morphological operations Erosion and dilation

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I. E. WITH MATLAB

I2 = I - background;imshow(I2)

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RESULT

BEFORE AFTER

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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.

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SPATIAL DOMAIN METHODS

1. Grey scale manipulation2. Histogram Equalization3. Image Smoothing4. Neighbourhood Averaging5. Edge preserving smoothing6. Image sharpening7. High boost filtering

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FREQUENCY DOMAIN METHODS

1. Filtering2. Homomorphic filtering3. Geometric Transformations

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