A Novel Approch for Deblurring Colored Images using Blind Deconvolution Algorithm

Singh, Sohni; Sharma, Manvinder; Khosla, Dishant; Palta, Pankaj; Gupta, Anuj; Sharma, Tejpal; Goyal, Sumeet

doi:10.1109/ispcc48220.2019.8988325

Cited by 3 publications

(1 citation statement)

References 15 publications

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“…For reducing this oxide leakage current high k dielctric materials can be used. For reduction in static power, sleepy stack architecture has been used in this paper, which combines advantages of two techniques i.e sleep transistor and forced stack [18][19][20].…”

Section: Figure 1 Subthreshold Leakage Of Nmosmentioning

confidence: 99%

Implementation and Modeling of Low Power Sleepy Stack Sram

Kakkar¹

2022

joas

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For the future technologies in which the devices and circuits are integrating more, low power consuming devices are needed. Mostly the reduction of power dissipation work is concentrated on switching and leakage current. However, sub threshold current is also a big factor which leads to power consumption especially for memories. In this paper, leakage power of SRAM memory cell is reduced by power gated sleepy stack structure which leads to lesser power dissipation. The power dissipation is reduced to 226 µW with proposed technique compared with power dissipation of conventional 6T SRAM cell which had 740 µW. With lesser power dissipation the circuit can have more battery backup and lesser heat emission

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Section: Figure 1 Subthreshold Leakage Of Nmosmentioning

confidence: 99%

Implementation and Modeling of Low Power Sleepy Stack Sram

Kakkar¹

2022

joas

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Image Deblurring for CCTV Captured Images of Fast Moving Vehicles

Nande

Ganesh

Krishnan

et al. 2022

Security, Privacy and Data Analytics

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A Novel Algorithm to Detect and Transmit Human-Directed Signboard Image Text to Vehicle Using 5G-Enabled Wireless Networks

Pandey

Wairya

2022

International Journal of Distributed Artificial Intelligence

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The emerging 5G telecommunication technology uses novel aspects to fulfill the challenges of high data rate, ultra-low latency, broad bandwidth with the best user experience for text detection in sign board and thereafter transmission of identified information to the vehicles. This is performed on the images which are amorphous in nature or containing scenarios which are random or that cannot be determined. Detecting and transmission of textsover 5G wireless network from the unstructured images aids in many of the additional applications like Optical Character Recognition (OCR) and 5G technolog such as an eMBB, mMTC, and URLLC for quality of service and customer satisfaction.This approach can be used to alert a driver about any road sign even from a captured video by using 5G wireless network irrespective of the weathercondition or any obstacle which may make sign boards difficult to see for drivers. The algorithm uses Maximally Stable Extremal Regions (MSER) feature detector. The algorithm contains several steps which are briefly described in the paper.

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A Novel Approch for Deblurring Colored Images using Blind Deconvolution Algorithm

Cited by 3 publications

References 15 publications

Implementation and Modeling of Low Power Sleepy Stack Sram

Implementation and Modeling of Low Power Sleepy Stack Sram

Image Deblurring for CCTV Captured Images of Fast Moving Vehicles

A Novel Algorithm to Detect and Transmit Human-Directed Signboard Image Text to Vehicle Using 5G-Enabled Wireless Networks

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