DIGITAL IMAGE PROCESSING

1. PRESENTATION BY:-
BIMAL KUMAR NAYAK
REG. NO- 18260401004
SUB:- DIGITAL IMAGE PROCESSING
SUBMITTED TO:-
Dr. BIKASH RANJAN PARIDA
ASSISTANT PROFESSOR
DEPARTMENT OF LAND RESOURCE MANAGEMENT

2. DIGITAL IMAGE PROCESSING
• PRE-PROCESSING
• IMAGE ENHANCEMENT
• IMAGE REDUCTION
• IMAGE MAGNIFICATION
• TRANSECT EXTRACTION
• CONTRAST ENHANCEMENT
• DENSITY SLICING
• SPATIAL FILTERING
 STATISTICAL FILTERING
 CRISP FILTRING
 CONVOLUTION FILTERING
 LOW PASS FILTER
 HIGH PASS FILTER
 IDEAL HIGH PASS FILTERS
 BUTTERWORTH HIGH PASS FILTERS
 GAUSSIAN HIGH PASS FILTERS
• IMAGE TRANSFORMATION
• IMAGE CLASSIFICATION

3. IDEAL HIGH PASS FILTER

4. Results of ideal
high pass filtering
with D0 = 15
Results of ideal
high pass filtering
with D0 = 30
Results of ideal
high pass filtering
with D0 = 80

5. BUTTERWORTH HIGH PASS FILTERS

6. Results of Butterworth
high pass filtering of
order 2 with D0 = 15
Results of Butterworth high
pass filtering of order 2
with D0 = 30
Results of Butterworth
high pass filtering of order 2
with D0 = 80

7. GAUSSIAN HIGH PASS FILTERS

8. Results of Gaussian
high pass filtering
with D0 = 15
Results of Gaussian
high pass filtering
With D0 = 30
Results of Gaussian
high pass filtering
With D0 = 80

9.  A HIGH-PASS FILTER CAN BE USED TO MAKE AN IMAGE APPEAR
SHARPER.
 THESE FILTERS EMPHASIZE FINE DETAILS IN THE IMAGE –
EXACTLY THE OPPOSITE OF THE LOW-PASS FILTER.
 HIGH-PASS FILTERING WORKS IN EXACTLY THE SAME WAYAS
LOW-PASS FILTERING
 IT JUST USES A DIFFERENT CONVOLUTION KERNEL.
Before filtering After filtering

10. CONCLUSION:-
THE HIGH PASS FILTER HAS MANY PRACTICAL IMPLICATION IN THE DIGITAL
IMAGE PROCESSING. BUT SOMEHOW IT IS NOT APPLICABLE FOR ALL TYPE OF
STUDY. SO THAT IS WHY WE NEED TO MOVE TOWARDS OTHER TYPE OF IMAGE
FILTERING TECHINIQUES.
REFERENCES:-
 Digital Image Processing 3rd Edition BY Richard E Woods, Rafael C Gonzalez
 International Journal of Computer Applications (0975 – 8887)
Volume 169 – No.10, July 2017
Analysis of Image Enhancement Techniques Used in Remote Sensing Satellite Imagery