A Comprehensive Review of Blind Deconvolution Techniques for Image Deblurring

Satish, Pooja; Srikantaswamy, Mallikarjunaswamy; Ramaswamy, Nataraj

doi:10.18280/ts.370321

Cited by 41 publications

(30 citation statements)

References 42 publications

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“…Related Works Optimization Method/Flow (7) , (10) MBFFs Logic optimization (9) MBFFs Pre-placement optimization (8) Register bank placement optimization (11) , (12) , (13) MBFFs post-placement optimization…”

Section: Table 1 List Of Mbffs Flow Design Optimization Methods and Related Workmentioning

confidence: 99%

“…In SOC design the dynamic power consumption is dominated and 75% of power is contributed to the total power of the design (2) . Recent researches have introduced many approaches to reduce to switching rate in the clock network such as register placement optimization, buffer sizing [ (3)(4)(5) , register banks (6) , multi-bit flipflops (MBFFs), or applying multi-bit registers (7)(8)(9)(10)(11)(12)(13)(14)(15) . The concept of making a flip-flop of 2 bit from merging -bit flip-flops of two 1 bit is shown in Figure . 1.…”

Section: Introductionmentioning

confidence: 99%

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Comprehensive Review of Optimal Utilization of Clock and Power Resources in Multi Bit Flip Flop Techniques

Rekha¹,

Nataraj²,

Rekha³

et al. 2021

IJST

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Objective:To analyze High-speed digital Integrated Circuit (IC) designing techniques and to identify the power dissipation rate in a different configuration of network switches. Methods: the complexity of a large-scale switching network is reduced using 2-bit Multi Bits Flip Flops (MBFF). The throughput and reliability are increased using a multibit flip-flop and have to be operated in parallel. The clock cycle required for 64-bit logical operation is analyzed using Xilinx software. The resources utilized during the execution process in various methods have been identified and analyzed Findings: Based on the survey, the proposed system will be built to identify characteristics of multi-bit flip flop based on switching speed (ps) concerning temperature (c), load capacity (fF), supply voltage (v), power consumption (mW) with respect to operating voltage (v) and many gates with respect to nanometer (nm) Novelty: Chip size and total power consumption rate by optimal chip reconfigurable network has been reduced to micrometer (mm) to nanometer (nm) and 0.3mW to 0.04mW respectively. Performance of parallel different applications operations in effective utilization of MBFF has been increased to 64 bits/s to 128 bits/s. The switching speed is increased with respect to clock frequency without any hazards and jitters using reconfigurable MBFF methods

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Section: Table 1 List Of Mbffs Flow Design Optimization Methods and Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Comprehensive Review of Optimal Utilization of Clock and Power Resources in Multi Bit Flip Flop Techniques

Rekha¹,

Nataraj²,

Rekha³

et al. 2021

IJST

View full text Add to dashboard Cite

show abstract

“…The model of radio dissipation includes two sections the transmitter and receiver that are set apart by a distance, d. The transmission section includes the amplifier for transmission and to transmit electronics and receiving electronics are part of receiving section that transmits the information in the form of bits. Let us assume that the rectangular filed consists of sensor nodes (42) . The nodes require E T X amount of energy to transmit and E RX amount of energy to receive K information over a distance of d and are given in equation 9and (10) as follows:…”

Section: System Modelmentioning

confidence: 99%

An efficient hybrid model for cluster head selection to optimize wireless sensor network using simulated annealing algorithm

Umashankar¹,

Anitha²,

Mallikarjunaswamy³

2021

IJST

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Objective: Energy efficiency aspect in wireless sensor networks (WSN) can be achieved by small sized rechargeable and easily replaceable batteries. The lifetime of wireless sensor network can be improved by identifying the efficient and reliable nodes as a cluster heads using Hybrid Simulated Annealing algorithm. The proposed algorithm identifies cluster head to reduce overhead and is capable of handling high volume of nodes with minimum node death rate. Methods: This study proposed initialization of population vectors using the opposite point procedure, self-adaptive control approach by node mutation rate, crossover rate, node capacity and cluster head allocation Methods. Findings: A case study in the proposed work is found to be better in throughput, accuracy, efficiency, energy utilization, batteries recharge ability and replacement procedures compared to the conventional methods. By the analysis and comparison of the proposed method with existing methods, it is identified that the reduction of the number of dead nodes gradually increases the throughput and lifetime of the nodes with respect to the number of iterations. Novelty: To overcome the limitations of conventional Low Energy Adaptive Clustering Hierarchy (LEACH), harmony search algorithm (HSA), modified HSA and differential evolution, we propose a hybrid optimal model using simulated annealing algorithm which includes a node capability function. It is used to improve the network lifetime of the cluster heads and sensor nodes. The proposed method have capability of batteries recharge ability and replacement option to improve network throughput and reliability of network.

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“…We have given an estimation of E(C r ) here to minimize the financial expenditure of calculation. In an event that absolute rounds of a lifetime of the network are known, here it is possible from our side to estimate the normal energy of every round in a network (15)(16)(17) . Most importantly, it is necessary to analyze the network lifetime L t that is the complete iterations.…”

Section: Selection Of Cluster Headmentioning

confidence: 99%

An Optimal Energy Utilization of Cluster Routing Protocol for Wireless Sensor Network in Restricted Area

Pavithra¹,

Babu²

2021

IJST

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Objectives: To efficiently monitor the highly confined area by using security measurement methods to enhance the lifetime of a large area coverage network. Methods : the modified nodes are included in the normal execution process of the network to calculate the efficiency and lifetime of the WSN. With the help of the simulation and analysis process, the proposed protocol is found to be more powerful to impact the sustainability of the network by prolonging the lifetime of the nodes. To perform this operation, the following parameters are considered: Area of the monitoring area, Number nodes, Sink portion, Energies of radio amplifier systems, Data aggregation, node electronics, and data packet length. Findings: The proposed optimal energy cluster routing protocol finds the best topological structural protocol to select the cluster head with optimal connectivity path with other nodes in a group. The data of energy utilization, data communication rate between nodes and cluster head, and analysis of the number of alive nodes concerning time are obtained. Novelty: the proposed Optimal efficient cluster routing protocol (OECRP) selects the cluster head by considering energy consumption, cluster sustainability, and its proper communication with other nodes. OECRP is used to develop the optimal topological structural protocol to connectivity path with other nodes in a group.

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A Comprehensive Review of Blind Deconvolution Techniques for Image Deblurring

Cited by 41 publications

References 42 publications

Comprehensive Review of Optimal Utilization of Clock and Power Resources in Multi Bit Flip Flop Techniques

Comprehensive Review of Optimal Utilization of Clock and Power Resources in Multi Bit Flip Flop Techniques

An efficient hybrid model for cluster head selection to optimize wireless sensor network using simulated annealing algorithm

An Optimal Energy Utilization of Cluster Routing Protocol for Wireless Sensor Network in Restricted Area

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