HIGH PASS FILTER IN DIGITAL IMAGE PROCESSING
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The document discusses digital image processing and various filtering techniques. It describes pre-processing, enhancement, reduction, magnification, and transformation techniques. It focuses on spatial filtering methods including statistical, crisp, and convolution filtering. Convolution filtering includes low-pass and high-pass filters such as ideal, Butterworth, and Gaussian high-pass filters. High-pass filters emphasize fine details and opposite of low-pass filters. The conclusion states that high-pass filters have applications but not for all studies, so other image filtering techniques need to be explored.
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its very useful for students.
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- 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