High speed, low-complexity image coding for IP-transport with JPEG XS

2016 ◽  
Author(s):  
Thomas Richter ◽  
Siegfried Fößel ◽  
Joachim Keinert ◽  
Antonin Descampe
2019 ◽  
Vol 67 (7) ◽  
pp. 2861-2872 ◽  
Author(s):  
Ibrahim Can Sezgin ◽  
Martin Dahlgren ◽  
Thomas Eriksson ◽  
Mikael Coldrey ◽  
Christina Larsson ◽  
...  

Nanomaterials ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 892
Author(s):  
Dieter Reenaers ◽  
Wouter Marchal ◽  
Ianto Biesmans ◽  
Philippe Nivelle ◽  
Jan D’Haen ◽  
...  

The field of printed electronics is rapidly evolving, producing low cost applications with enhanced performances with transparent, stretchable properties and higher reliability. Due to the versatility of printed electronics, industry can consider the implementation of electronics in a way which was never possible before. However, a post-processing step to achieve conductive structures—known as sintering—limits the production ease and speed of printed electronics. This study addresses the issues related to fast sintering without scarifying important properties such as conductivity and surface roughness. A drop-on-demand inkjet printer is employed to deposit silver nanoparticle-based inks. The post-processing time of these inks is reduced by replacing the conventional oven sintering procedure with the state-of-the-art method, named near-infrared sintering. By doing so, the post-processing time shortens from 30–60 min to 6–8 s. Furthermore, the maximum substrate temperature during sintering is reduced from 200 °C to 120 °C. Based on the results of this study, one can conclude that near-infrared sintering is a ready-to-industrialize post-processing method for the production of printed electronics, capable of sintering inks at high speed, low temperature and with low complexity. Furthermore, it becomes clear that ink optimization plays an important role in processing inkjet printable inks, especially after being near-infrared sintered.


Author(s):  
P. Praveena

<p>Present emerging trend in space science applications is to explore and utilize the deep space. Image coding in deep space communications play vital role in deep space missions. Lossless image compression has been recommended for space science exploration missions to retain the quality of image. On-board memory and bandwidth requirement is reduced by image compression. Programmable logic like field programmable gate array (FPGA) offers an attractive solution for performance and flexibility required by real time image compression algorithms. The powerful feature of FPGA is parallel processing which allows the data to process quicker than microprocessor implementation. This paper elaborates on implementing low complexity lossless image compression algorithm coder on FPGA with minimum utilization of onboard resources for deep space applications.</p>


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