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rift-multimodal-image-matching

segmentation

Image Segmentation in Matlab using graphcut and k-means

segmentation-of-ultrasound-images

The purpose of this study is the contour extraction of a region of interest in ultrasonic images. I applied the anisotropic diffusion algorithm to preprocess images, then an active contour model using a gradient vector flow was employed. In the end, the contour of a lesion area of the ultrasonic images was extracted.

semi_global_matching

Compute disparity map from stereo image with semi global matching algorithm.

sift-based-image-registration

sigf

Image Matching for Crop Fields Using Similarity Invariant Geometric Feature

simple-matlab-watershed-cell-segmentation

Segment cells with seed based watershed in Matlab

singlepixeldatafusion4d

Codes for the data fusion paper (Giga-voxel multidimensional fluorescence imaging combining single-pixel detection and data fusion) in https://doi.org/10.1364/OL.434127

super-image-resolution

Generating Super Resolution Images with image calibration. ECE 4250 Final Project

super-resolution-image-reconstruction

super_resolution

Super-resolution is a technique that constructs an high-resolution image from several observed low-resolution images.

superresolution

Image Super Resolution

superresolution-1

Converting several Low resolution images to a single High resolution image

tscn

Caffe implementation of "Two-Stage Convolutional Network for Image Super-Resolution" (ICPR 2018)

ug-thesis

本科毕业论文-三维重建-ug thesis on 3D-reconstruction

underwater_image_fusion

水下图像增强融合算法-matlab

vifb

Visible and Infrared Image Fusion Benchmark

wavelet-super-resolution-tests

Some tests for super-resolution and image resizing in the wavelet domain. This is all just experimental MATLAB code.

waveletimagefusion

基于小波变换的图像融合算法

wmcnn

wavelet multiscale convolutional neural networks for aerial image super resolution