Digital Image Processing

This is the digital image processing course projects of SJTU.

Data

BMP_images : Some classic grayscale images in digital image processing. The image files' format is bmp.

Project1

project1/main.m: use DFT/IDFT, low-pass filtering and high-pass filtering

project1/main2.m: use DCT/IDCT, low-pass filtering and high-pass filtering

CSDN blog

Project2

project2/results：

• lena.png: raw figure
• lena.gaussian.png: the image processed by gaussian filtering
• lena_high_pass_filtering.png: the image processed by high-pasa filtering
• lena_homomorphic.png: the image processed by homomorphic filtering
• lena_low_pass_filtering.png: the image processed by low-pass filtering
• lena_mean_filter.png: the image processed by mean filtering
• lena_median_filter.png: the image processed by median filtering
• lena_salt_pepper.png: the image after adding salt-and-pepper noise

project2/gaussian_filter.py: use guassian filtering

project2/homomorphic_filtering.py: use homomorphic filtering

project2/low_high_pass_filter.py: use low-pass and high-pass filtering

project2/salt_pepper_noise.py: add salt-and-pepper noise

project2/wavelet_based_denoising.py: use wavelet-based denoising algorithm

CSDN blog

Project3

project3/results：

• lena.png: raw figure
• GaussianBlur_image.png: the image processed by gaussian blurring
• lapres.png: the blurred image sharpened by the laplacian operator
• sobelres.png: the blurred image sharpened by the Sobel operator

project3/sharpen_gradient.py: use gradient method to sharpen image

project3/sharpen_laplace.py: use laplacian operator and sobel operator to sharpen image

CSDN blog

Project4

project4/images：

• book.png: a book image
• person.png: an image of a person stand nearby window

project4/results：

• book/gray_book.png: gray image of book
• book/segmented_region_book.png: use region-growth segmentation method for book image
• book/segmented_threshold_book.png: use threshold-based segmentation method for book image
• person/gray_person.png: gray image of person
• person/segmented_region_person.png: use region-growth segmentation method for person image
• person/segmented_threshold_person.png: use threshold-based segmentation method for person image

project4/segmentation_book.ipynb: use threshold-based and region-growth segmentation method to segment book image

project4/segmentation_person.ipynb: use threshold-based and region-growth segmentation method to segment person image

CSDN blog