Search Results for author: Heiko Sparenberg

Found 2 papers, 1 papers with code

SLIC: A Learned Image Codec Using Structure and Color

1 code implementation30 Jan 2024 Srivatsa Prativadibhayankaram, Mahadev Prasad Panda, Thomas Richter, Heiko Sparenberg, Siegfried Fößel, André Kaup

We propose the structure and color based learned image codec (SLIC) in which the task of compression is split into that of luminance and chrominance.

MS-SSIM SSIM

Color Learning for Image Compression

no code implementations30 Jun 2023 Srivatsa Prativadibhayankaram, Thomas Richter, Heiko Sparenberg, Siegfried Fößel

To enable a method that is suitable for image compression and subsequently extended to video compression, we propose a novel deep learning model architecture, where the task of image compression is divided into two sub-tasks, learning structural information from luminance channel and color from chrominance channels.

Image Compression Video Compression

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