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Restoring_Classics_to_4K

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Developed an image colorization pipeline utilizing Non-Local Means, Total Variation, and Wavelet Denoising for noise removal, with SIFT and ResNet backbones for feature extraction on ImageNet-1k, and enhanced spatial consistency through joint bilateral filtering and 4K upscaling via bilinear interpolation.

colorization denosing imagenet j-invariance joint-bilateral-filter resent sift upsampling

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src		src
.gitignore		.gitignore
README.md		README.md
Report.pdf		Report.pdf

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Restoring Classics to 4K

Our presentation can be found here

About

Developed an image colorization pipeline utilizing Non-Local Means, Total Variation, and Wavelet Denoising for noise removal, with SIFT and ResNet backbones for feature extraction on ImageNet-1k, and enhanced spatial consistency through joint bilateral filtering and 4K upscaling via bilinear interpolation.

colorization denosing imagenet j-invariance joint-bilateral-filter resent sift upsampling

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1 watching

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