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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 112
Article Submitted : 17566
Article Published : 7616
Total Authors : 20196
Total Reviewer : 740
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| Paper Title: | Fully Convolutional Auto-encoder Based Multi-Stage Encoding for Image Compression |
| Authors Name: | Giridhar S. Sudi , Dr. Mahendra M. Dixit |
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| Author Reg. ID: |
IJRTI_186027
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| Published Paper Id: | IJRTI2304096 |
| Published In: | Volume 8 Issue 4, April-2023 |
| DOI: | |
| Abstract: | In this paper, we propose to perform “Image Compression Using the Framework of Fully Convolutional Auto-encoder Based Multi-Stage Encoding”. Image that contains co-related data can be compressed easily. We also propose to increase the correlation of the image by smoothening the edges by convolving the image with a known PSF. The usage of fully convolutional Auto-encoder helps us to further compress the encoded data using DCT and other encoding techniques. We propose to train the system and demonstrate the results on the COCO dataset. The image compression done using the proposed framework is ideally expected to be lossless. But, the trained Auto-encoder model is expected to show some inaccuracy in terms of efficient reconstruction. Hence, the total loss in the compression technique is attributed to the inaccuracy of the training. It is expected that the proposed system compresses the image with a larger compression ratio in comparison with the state of the art JPEG compression. |
| Keywords: | Image compression, auto-encoder, convolution, PSF, DCT, image reconstruction |
| Cite Article: | "Fully Convolutional Auto-encoder Based Multi-Stage Encoding for Image Compression", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 4, page no.585 - 590, April-2023, Available :http://www.ijrti.org/papers/IJRTI2304096.pdf |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2304096
Registration ID:186027
Published In: Volume 8 Issue 4, April-2023
DOI (Digital Object Identifier):
Page No: 585 - 590 Country: Belagavi, Karnataka, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2304096 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2304096 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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