https://github.com/aminul-islam-niloy/digital-image-processing-
DIP with Jupeter Notebook
https://github.com/aminul-islam-niloy/digital-image-processing-
image-processing juoyter-book python3
Last synced: 3 months ago
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DIP with Jupeter Notebook
- Host: GitHub
- URL: https://github.com/aminul-islam-niloy/digital-image-processing-
- Owner: aminul-islam-niloy
- Created: 2024-01-16T14:13:37.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-01-16T20:29:10.000Z (over 1 year ago)
- Last Synced: 2025-01-12T15:46:23.839Z (5 months ago)
- Topics: image-processing, juoyter-book, python3
- Language: Jupyter Notebook
- Homepage:
- Size: 37.5 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: Readme.md
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# Image Processing Lab Tasks
## Task 1: Grayscale Image Operations
### (a) Decrease Spatial Resolution
- Take a grayscale image of size 512x512.
- Decrease its spatial resolution by half every time.
- Observe changes when displaying in the same window size.
### (b) Decrease Intensity Level Resolution
- Decrease intensity level resolution by one bit up to reach its binary format.
- Observe changes when displaying in the same window size.
### (c) Illustrate Histogram & Single Threshold Segmentation
- Illustrate the histogram of the image.
- Perform single threshold segmentation observed from the histogram.
## Task 2: More Grayscale Image Operations
### (a) Brightness Enhancement
- Take a grayscale image of size 512x512.
- Perform brightness enhancement of a specific range of gray levels.
- Observe the result.
### (b) Power Law & Inverse Logarithmic Transformation
- Differentiate the results of power law & inverse logarithmic transformation.
### (c) Find Difference Image
- Take a grayscale image.
- Find the difference image between the original & the image obtained by the last three MSBs.
## Task 3: Image with Salt-and-Pepper Noise
### (a) Average & Median Spatial Filters
- Apply average & median spatial filters with a 5x5 mask.
- Observe their performance for noise suppression in terms of PSNR.
### (b) Average Filter with Different Mask Sizes
- Apply an average filter with (3x3, 5x5, 7x7) mask.
- Observe its performance in terms of PSNR.
### (c) Harmonic & Geometric Mean Filter
- Apply harmonic & geometric mean filter on the noisy image.
- Compare their performance with PSNR.
## Task 4: Image with Gaussian Noise
### (a) Frequency Domain Filtering
- Apply 4th order Butterworth & Gaussian low-pass filter.
- Analyze their performance quantitatively.
### (b) Ringing Effect of Ideal Low-Pass Filter
- Display the ringing effect of the ideal low-pass filter of different radii on the image.
### (c) Edge Detection
- Perform edge detection on the noisy & clean image using ideal & Gaussian high-pass filters.
## Task 5: Binary Image Morphological Operations
### (a) Erosion & Dilation
- Perform Erosion & Dilation operations.
### (b) Opening & Closing
- Perform Opening & Closing operations.
### (c) Boundary Extraction
- Extract boundaries using morphological operations.