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Open AccessArticle

Optimized Lossless Embedded Compression for Mobile Multimedia Applications

1
System LSI Division, Samsung Electronics Co. Ltd, Hwaseong 18448, Korea
2
Department of Semiconductor and Display Engineering, Sungkyunkwan University, Suwon 16419, Korea
3
Department of Artificial Intelligence, Sungkyunkwan University, Suwon 16419, Korea
*
Author to whom correspondence should be addressed.
Electronics 2020, 9(5), 868; https://doi.org/10.3390/electronics9050868
Received: 15 April 2020 / Revised: 12 May 2020 / Accepted: 20 May 2020 / Published: 23 May 2020
(This article belongs to the Section Computer Science & Engineering)
Power consumption is a critical design factor in modern mobile chip design, in which the memory system with dynamic random-access memory (DRAM) consumes more than half of the entire system’s power. Without DRAM bandwidth compression, extreme multimedia operations such as 8K high dynamic range (HDR) recording and 8K video conference calling are not possible without sacrificing image quality or trimming because of thermal limitations or battery time sustainability constraints. Since heterogeneous processors are substantially involved in managing various types of fallbacks or software solutions, complicated compression algorithms for high-compression ratios are not actually adaptable owing to timing closure problems or high throughput requirements. In this paper, we propose evaluation metrics to assess lossless embedded compression (LEC) algorithms to reflect realistic design considerations for mobile multimedia scenarios. Furthermore, we introduce an optimized LEC implementation for contemporary multimedia applications in mobile devices based on the proposed metrics. The proposed LEC implementation enhances the compression ratio of LEC algorithms in other commercial application processors for contemporary premium smartphones by up to 9.2% on average, while maintaining the same timing closure condition. View Full-Text
Keywords: lossless embedded compression (LEC); prediction; entropy encoding; residual transform; memory bandwidth compression lossless embedded compression (LEC); prediction; entropy encoding; residual transform; memory bandwidth compression
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MDPI and ACS Style

Yoon, S.; Jun, S.; Cho, Y.; Lee, K.; Jang, H.; Han, T.H. Optimized Lossless Embedded Compression for Mobile Multimedia Applications. Electronics 2020, 9, 868.

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