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  • 标题:NEW ALGORITHM IN IMAGE COMPRESSION BASED ON DISCRETE COSINE TRANSFORM
  • 本地全文:下载
  • 作者:ZYAD THALJI
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2019
  • 卷号:97
  • 期号:6
  • 页码:1809-1822
  • 出版社:Journal of Theoretical and Applied
  • 摘要:Digital image compression is the most important field in digital image processing. Communication technologies and storage are using compression to compressed digital images. Digital image compression provides storage space when storing images on storage media and saving time when transferring data over communication networks. This paper aimed to compress an image by resizing the image dimension, the resizing image based on pixel location. The study used many methods to reach its goals. The method of separating the colour image is used to split the image into three intensity images (red intensity images, blue intensity images and green intensity images). The Discrete Cosine Transform (DCT) is used after the splitting the resizing image, resizing the image dimension reduced the dimension of the image to quarter. The new algorithm was applied for ten selected images from the internet, the experiment results show that the new algorithm has a high efficiency in image compression.
  • 关键词:Image Compression; Image Resize; Discrete Cosine Transform; Inverse Discrete Cosine Transform; Colour Image;
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