Design and train an algorithm for removing atmospheric turbulence through deep learning
Image Enhancement
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Conversion of colors of images for color-blindness of type DeuteranopiaCategories: Image Enhancement -
Atmospheric turbulence simulator using given parameters of user input -
Examining different metrics for error measurement in reconstructed depth images -
Enhancement of images using an own devised Adaptive Pixel Binning algorithm.Categories: Image Enhancement -
Photometric stereo using a computer screen and webcam -
Implement a low light camera by a smart pixel binning method.Categories: Image Enhancement -
Turbulence creates refractive perturbations to light passing through a scene which causes random distortions when imaging background objects. A simple example we are experience on daily basis is refraction through glass of water or distortions above a road on a hot dayCategories: Image Enhancement -
Improved ultrasound image compression ratios whilst preserving the diagnostic information of the images. Speckle noise reduction in order to improve the diagnostability of the image. -
Implementation of sparsity based image processing methods on naturel texture image with stochastic features for the purpose of noise filtering and reconstruction of blur.