Image synthesis using convolutional neural network

Ganesh Bhat, Shrikant Dharwadkar, N. V.Subba Reddy, G. Shivaprasad

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The image processing task for conversion of image style is a tedious task. The previous approaches carried out in this area lacked in extracting higher level of abstractions from the input image, hence failed to generate image content from the acquired knowledge. Hence to achieve higher level knowledge from the object to be recognized, we make use of convolutional neural networks which aid in achieving higher quality images. The proposed work uses a Neural Algorithm that produces an image with a new style using the knowledge acquired from input image. Our work provides a new approach for deep representations of images using Neural Networks, hence demonstrating the generation of high level image synthesis and manipulation.

Original languageEnglish
Title of host publicationRTEICT 2017 - 2nd IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages689-691
Number of pages3
Volume2018-January
ISBN (Electronic)9781509037049
DOIs
Publication statusPublished - 12-01-2018
Event2nd IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, RTEICT 2017 - Bangalore, India
Duration: 19-05-201720-05-2017

Conference

Conference2nd IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, RTEICT 2017
CountryIndia
CityBangalore
Period19-05-1720-05-17

Fingerprint

neural network
Neural Networks
Synthesis
Neural networks
synthesis
Image quality
Image processing
abstraction
Image Quality
manipulation
Manipulation
Image Processing
image processing
manipulators
Knowledge

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Media Technology
  • Control and Optimization
  • Instrumentation
  • Transportation
  • Communication

Cite this

Bhat, G., Dharwadkar, S., Reddy, N. V. S., & Shivaprasad, G. (2018). Image synthesis using convolutional neural network. In RTEICT 2017 - 2nd IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, Proceedings (Vol. 2018-January, pp. 689-691). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RTEICT.2017.8256685
Bhat, Ganesh ; Dharwadkar, Shrikant ; Reddy, N. V.Subba ; Shivaprasad, G. / Image synthesis using convolutional neural network. RTEICT 2017 - 2nd IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, Proceedings. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. pp. 689-691
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abstract = "The image processing task for conversion of image style is a tedious task. The previous approaches carried out in this area lacked in extracting higher level of abstractions from the input image, hence failed to generate image content from the acquired knowledge. Hence to achieve higher level knowledge from the object to be recognized, we make use of convolutional neural networks which aid in achieving higher quality images. The proposed work uses a Neural Algorithm that produces an image with a new style using the knowledge acquired from input image. Our work provides a new approach for deep representations of images using Neural Networks, hence demonstrating the generation of high level image synthesis and manipulation.",
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Bhat, G, Dharwadkar, S, Reddy, NVS & Shivaprasad, G 2018, Image synthesis using convolutional neural network. in RTEICT 2017 - 2nd IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, Proceedings. vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 689-691, 2nd IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, RTEICT 2017, Bangalore, India, 19-05-17. https://doi.org/10.1109/RTEICT.2017.8256685

Image synthesis using convolutional neural network. / Bhat, Ganesh; Dharwadkar, Shrikant; Reddy, N. V.Subba; Shivaprasad, G.

RTEICT 2017 - 2nd IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, Proceedings. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. p. 689-691.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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N2 - The image processing task for conversion of image style is a tedious task. The previous approaches carried out in this area lacked in extracting higher level of abstractions from the input image, hence failed to generate image content from the acquired knowledge. Hence to achieve higher level knowledge from the object to be recognized, we make use of convolutional neural networks which aid in achieving higher quality images. The proposed work uses a Neural Algorithm that produces an image with a new style using the knowledge acquired from input image. Our work provides a new approach for deep representations of images using Neural Networks, hence demonstrating the generation of high level image synthesis and manipulation.

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Bhat G, Dharwadkar S, Reddy NVS, Shivaprasad G. Image synthesis using convolutional neural network. In RTEICT 2017 - 2nd IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, Proceedings. Vol. 2018-January. Institute of Electrical and Electronics Engineers Inc. 2018. p. 689-691 https://doi.org/10.1109/RTEICT.2017.8256685