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color-guided-depth-recovery-from-rgb-d-data-using-an-adaptive-auto-regressive-model

This is the C implementation of the paper "Color-guided Depth Recovery from RGB-D Data Using an Adaptive Auto-regressive Model" in TIP 2014. It is the same as the MATLAB source code provided by the author. However, it can run much faster and can handle much larger depth maps.

emerging-from-water-more-results

fusenet

This repository is the official release of the code for the following paper "FuseNet: Incorporating Depth into Semantic Segmentation via Fusion-based CNN Architecture" which is published at the 13th Asian Conference on Computer Vision (ACCV 2016).

hikvision

De-scattering and edge enhancing are critical procedures for underwater images which surfer from serious detail loss, color deviation and blurring. In this work, a novel method has been proposed to enhance contrast and edge of underwater images.

imageenhanceviafusion

It is a Java implementation of underwater images and videos enhancement by fusion

intrinsic-images-using-optimization

Intrinsic images using optimization (IEEE CVPR11, IEEE TCYB13)

lapsrn-tensorflow

Tensorflow implementation of the paper "Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution"

myproject

siggraph2016_colorization

Code for the paper 'Let there be Color!: Joint End-to-end Learning of Global and Local Image Priors for Automatic Image Colorization with Simultaneous Classification'.

underwater

Companion repository to the paper Automatic Red-Channel Underwater Image Restoration, by Galdran et al.

underwater-color-correction

Using GANs to correct color distortion in underwater images.

underwater-hl

MATLAB code for color restoration of underwater images

underwater-image-enhancement-by-wavelength-compensation-and-dehazing

ACQUIRING clear images in underwater environments is an important issue in ocean engineering. The quality of underwater images plays a pivotal role in scientific missions such as monitoring sea life, taking census of populations, and assessing geological or biological environments. Capturing images underwater is challenging, mostly due to haze caused by light that is reflected from a surface and is deflected and scattered by water particles, and colour change due to varying degrees of light attenuation for different wavelengths. Light scattering and colour change result in contrast loss and colour deviation in images acquired underwater.

underwater-image-restoration

Implementation of Chongyi Li et.al algorithm for underwater image restoration.

underwater_image_enhancement_using_multifusion_technique

underwaterimagerestoration

Underwater Image Restoration.

uwsim

Underwater Image Systems Simulation

watergan

Source code for "WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images"

watergan-color-correction-net

Customized verison of Caffe that support underwater color correction net.