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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
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 : 115
Article Submitted : 19623
Article Published : 8077
Total Authors : 21364
Total Reviewer : 770
Total Countries : 147
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| Paper Title: | A High Quality Image Compression Technique |
| Authors Name: | N. Surya Kiran , N.V.S. Dinakar Reddy , E.Bhanu , Ms. H. Malini |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_186272
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| Published Paper Id: | IJRTI2304194 |
| Published In: | Volume 8 Issue 4, April-2023 |
| DOI: | |
| Abstract: | Compression is one of the major concepts used over the internet. It makes share any type of data quickly and efficiently manner. Image compression is the process of minimizing the size of the graphic files in bytes without damaging the quality of the image. Without using the compression technique, the cost of bandwidth is so high. In this current digital world, compression is needed to send the data in a safe and fast manner. The compression technique is also needed to store the data with less amount of storage area. This research work deals with image compression using the concept of machine learning. The main intention of the image compression approach is to make a better quality of the image and to decrease the storage area. Here the machine learning concept is used to compress the image data. Compared with existing traditional compression techniques like Gradient Boost (GB) proposed Convolution Neural Network (CNN) approach produces a better result. This system is implemented using MATLAB software. |
| Keywords: | Machine Learning, Deep Learning, Gradient Boosting, Convolutional Neural Networks |
| Cite Article: | "A High Quality Image Compression Technique", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 4, page no.1186 - 1192, April-2023, Available :http://www.ijrti.org/papers/IJRTI2304194.pdf |
| Downloads: | 000205130 |
| ISSN: |
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 |
| Publication Details: |
Published Paper ID: IJRTI2304194
Registration ID:186272
Published In: Volume 8 Issue 4, April-2023
DOI (Digital Object Identifier):
Page No: 1186 - 1192 Country: Chennai/Kanchipuram District, Tamil Nadu, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2304194 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2304194 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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