The automobile gear-box synchronizes motion blurred image recovery study

The purpose of image motion deblur is to recover the underlying clear image from the corresponding blur image. In most traditional methods, the image recovery task is formulated as a problem of blur core estimation and use a priori to calculate. In this paper we proposes a generative adversarial network(GAN) model based on the mobilenet-V3 network structure to meet the needs of motion blurred image recovery on mobile devices. Based on traditional evaluation indicators, we propose a new evaluation metric on mobile device. Extensive experiments show that our method is superior to the competing methods.

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USING A STOCHASTIC BASIS IN SIGNAL AND IMAGE RECOVERY PROBLEMS

Автометрия ◽

10.15372/aut20170415 ◽

2017 ◽

Keyword(s):

Image Recovery ◽

Stochastic Basis

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Estimation of PSF Using Logarithmic Amplitude Spectrum and Restoration of Blurred Image

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.132.284 ◽

2012 ◽

Vol 132 (2) ◽

pp. 284-290

Author(s):

Yuka Nagashima ◽

Shigeru Omatu ◽

Michifumi Yoshioka

Keyword(s):

Amplitude Spectrum ◽

Blurred Image

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Recognition of Birds in Blurred and Illumination Images by Local Features

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse/v7i7/0128 ◽

2017 ◽

Vol 7 (7) ◽

pp. 243

Author(s):

Suresha .M ◽

. Sandeep

Keyword(s):

Computer Vision ◽

Time Complexity ◽

Feature Detection ◽

Feature Matching ◽

Fast Algorithms ◽

Local Features ◽

Experimental Demonstration ◽

Harris Corner ◽

Blurred Image ◽

Blurred Images

Local features are of great importance in computer vision. It performs feature detection and feature matching are two important tasks. In this paper concentrates on the problem of recognition of birds using local features. Investigation summarizes the local features SURF, FAST and HARRIS against blurred and illumination images. FAST and Harris corner algorithm have given less accuracy for blurred images. The SURF algorithm gives best result for blurred image because its identify strongest local features and time complexity is less and experimental demonstration shows that SURF algorithm is robust for blurred images and the FAST algorithms is suitable for images with illumination.

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Design, Analysis and Fabrication of Compound Gear Box

International Journal of Scientific and Research Publications (IJSRP) ◽

10.29322/ijsrp.9.06.2019.p90128 ◽

2019 ◽

Vol 9 (6) ◽

pp. p90128

Author(s):

A Aditya Raj Gokul ◽

A Surya Praneeth ◽

A Chandrasourabh ◽

Nishant Jajoo ◽

P Rohanth Reddy ◽

...

Keyword(s):

Design Analysis ◽

Gear Box

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Spectrophotometric Determination of Alendronate Sodium by using Sodium-1,2-Naphthoquinone-4-Sulphonate

International Journal of Pharmaceutical Sciences and Nanotechnology ◽

10.37285/ijpsn.2011.4.4.7 ◽

2012 ◽

Vol 4 (4) ◽

pp. 1563-1568

Author(s):

Sagar Suman Panda ◽

Ravi Kumar B V V ◽

D Patanaik

Keyword(s):

Spectrophotometric Method ◽

Absorption Maximum ◽

Dosage Form ◽

Dosage Forms ◽

Alendronate Sodium ◽

Colored Complex ◽

Pharmaceutical Dosage Forms ◽

Recovery Study ◽

Assay Conditions

A simple, precise and accurate spectrophotometric method was developed for analysis of the osteoporesis drug alendronate sodium (ALS). The method is based on reaction of the drug with sodium-1,2-naphthoquinone-4-sulphonate (NQS) in presence of alkali to form a brown colored complex giving absorption maximum at 525 nm. The drug obeyed Beer’s law in the range of 5-70 µg/ml with a correlation coefficient of 0.999. The LOD and LOQ values are 1.7 µg/ml and 5.0 µg/ml, respectively. The average recoveries for recovery study were found to be in the range of 99.37%-100.46%. The R.S.D. values for intraday and inter-day precision were found to be 0.48 and 0.62, respectively. The optimized assay conditions were applied successfully for determination of ALS in pharmaceutical dosage forms. No interference was observed from the excipients present in the dosage form. The method is statistically validated as per the ICH requirements.

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