HCMUT - CO3057 - Digital Image Processing and Computer Vision

Project 1: grayscale and color images

• Split image by 3 color channels into 3 grayscale images
• Merge 3 grayscale images
• Restore original image from 3 grayscale images above

Project 2: Low-Pass and High-Pass Filters

• Implement Low-Pass Filter using methods: Average, Median, Gaussian, ...
• Implement High-Pass Filter using methods: Gaussian, Sobel, Laplacian, ...

Project 3: Gradient Domain Editing

• Masking object and replacing background
• Implement Poison Blending
• Implement Laplacian Pyramid Blending

Project 4: Transformations

• Straighten object as well as the shooting angle in the given sample photos
• Select source points and destination points to create transformation matrix
• Transform images using methods: Affine, Perspective

Project 5: Image stitching

• Extract image features using methods: SIFT, BRISK, ...
• Stitching three images into one expansive image