Topic
Ericsson Texture Compression
About: Ericsson Texture Compression is a research topic. Over the lifetime, 3 publications have been published within this topic receiving 164 citations.
Papers
30 Jul 2005
TL;DR: This work presents a novel texture compression scheme, called iPACKMAN, targeted for hardware implementation, which outperforms the previous de facto standard texture compression algorithms in the majority of all cases that it has tested.
Abstract: We present a novel texture compression scheme, called iPACKMAN, targeted for hardware implementation. In terms of image quality, it outperforms the previous de facto standard texture compression algorithms in the majority of all cases that we have tested. Our new algorithm is an extension of the PACKMAN texture compression system, and while it is a bit more complex than PACKMAN, it is still very low in terms of hardware complexity.
171 citations
24 Sep 2017
TL;DR: This work enhances an existing open source framework for in-home streaming and is the first to bring ETC2 compression to real-time speed, which increases the streamed image quality and reduces the required data rate.
Abstract: Interacting with real-time rendered 3D content from powerful machines on smaller devices is becoming ubiquitous through commercial products that enable in-home streaming within the same local network. However, support for high resolution, low latency in-home streaming at high image quality is still a challenging problem. To enable this, we enhance an existing open source framework for in-home streaming. We add highly optimized DXT1 (DirectX Texture Compression) support for thin desktop and notebook clients. For rendered light fields, we improve the encoding algorithms for higher image quality. Within a 10 Gigabit Ethernet (10 GbE) network, we achieve streaming up to 5K resolution at 55 frames per second. Through new low-level algorithmic improvements, we increase the compression speed of ETC1 (Ericsson Texture Compression) by a factor of 5. We are the first to bring ETC2 compression to real-time speed, which increases the streamed image quality. Last, we reduce the required data rate by more than a factor of 2 through foveated compression with real-time eye tracking.
5 citations
Patent•
3 Jul 2013
TL;DR: In this article, a method of improving ECC image quality includes providing an original image in the RGB color space, performing an image dithering process on the original image to produce a dithered image, and performing an ECC-based texture compression on the image to obtain a compressed image.
Abstract: A method of improving Ericsson Texture Compression image quality includes providing an original image in the RGB color space, performing an image dithering process on the original image to produce a dithered image, and performing an Ericsson Texture Compression process on the dithered image to produce a compressed image.
4 citations
Related Topics (5)
Performance Metrics
| Year | Papers |
|---|---|
| 2017 | 1 |
| 2013 | 1 |
| 2005 | 1 |