INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
This paper aims to study image compression , Both methods use cosine transform and wavelet transform to deduct a portion of the information in the image that can endure losing it without a significant disturbance in the image itself , as we know cameras are now a day’s being provided with more and more megapixels to improve the quality of captured images. With improvement in image quality, size of the image file also increases. Due to speed limitation of the Internet, it takes more time to upload good-quality images that are of bigger sizes. A user needs to compress the image without degrading its quality. Mobile manufacturers need algorithms in their cameras that enable storing the images in reduced sizes without degrading their quality. In proposed system, a comparative study has been carried out on image compression using DCT (Discrete Cosine Transform) and DWT (Discrete Wavelet Transform). A comparison is outlined to emphasize the results of this compression system between DCT and DWT using JPEG (Joint Photographic Experts Group) and PNG (Portable Network Graphics) color images. DWT algorithm and DCT algorithm are much better algorithms in terms of compression, A user needs to compress the image without degrading its quality
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Cite Article:
"Color image compression using DCT and DWT", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.2, Issue 6, page no.258 - 263, June-2017, Available :http://www.ijsdr.org/papers/IJSDR1706035.pdf
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Publication Details:
Published Paper ID: IJSDR1706035
Registration ID:170523
Published In: Volume 2 Issue 6, June-2017
DOI (Digital Object Identifier):
Page No: 258 - 263
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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