2.  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.

3.  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

4. BY ADJUSTING:-
Contrast-
is the difference in luminance or color that
makes an object
Intensity- brightness
Hue- the color of the light
Saturation- the degree of vividness (mix with
white)
Density slicing
Edges

5. Correcting non uniform illumination with
morphological operators.

6. Enhancing gray scale images
with histogram equalization.

7. Deblurring images using a Wiener filter.

8. I = imread('rice.png');
imshow(I)

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

10. I2 = I - background;
imshow(I2)

11. BEFORE AFTER

12. 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.

13. 1. Grey scale manipulation
2. Histogram Equalization
3. Image Smoothing
4. Neighbourhood Averaging
5. Edge preserving smoothing
6. Image sharpening
7. High boost filtering

14. 1. Filtering
2. Homomorphic filtering
3. Geometric Transformations