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Technical University of Munich

Open Thesis

HDR gain map implementation in python

Keywords:
HDR, gain map

Description

HDR gain map technology involves storing SDR and gain map within a single image file, utilizing a Gain Map to scale or fully recover the HDR rendition for viewing on displays of different HDR headrooms. 

This topic includes an implementation of gain map technology in python, encoding gain map and storing gain maps with their metadata, decoding gain map and recovering HDR rendition.

 

This topic is suitable for an Ingenieurpraxis (IP) or Forschungspraxis (FP) for a duration of 9 weeks.

Prerequisites

Coding skills of Python and C++ for implementation 

Knowledge of image processing and file formats

Availability for 9 weeks.

Contact

Hongjie You (hongjie.you@tum.de)

Supervisor:

Hongjie You

Ongoing Thesis

Master's Theses

Video Coding of Natural Video Sequences Using Estimated Auxiliary Data

Keywords:
video coding, codec, JVET

Description

As part of the AhG15 (gaming content compression) activity at JVET, additional data is available for various sequences: depth maps, motion vectors, camera parameters, and trajectories. These were directly extracted from a gaming engine, ensuring their superior quality. AhG15 aims to investigate how this data can be leveraged for the compression of gaming content.

In this master’s thesis, we want to explore whether similar data for regular sequences can also be estimated and utilized for coding. Auxiliary data can be obtained by leveraging existing approaches, such as SfM and SLAM. The final goal is to achieve higher coding gain (BD-Rate) or faster coding by simplifying the motion search process.

 

Supervisors: Dr. Johannes Sauer (Huawei Munich), Hongjie You

Prerequisites

Knowledge on video coding, H.266 (VVC) and H.265 (HEVC)

Coding skills of C++,  python and shell for working with JVET AhG verification software.

Independent problem solving skills.

Contact

Please get in touch with Hongjie You directly

Supervisor:

Hongjie You - Dr. Johannes Sauer (Huawei Technologies Munich Research Center)
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