Lossless Image Compression using Discrete Cosine Transform (DCT)
In today's world, Image compression is a very important tool to save the amount of space the image uses for its storage. In recent days, as the image sharing and transmitting in social media has been the trending topic, compression of the image has become more significant and vital. Compression can be either lossy or lossless. With the lossless compression, after reconstructing the original image using some decompression technique, the final image obtained is numerically equal to the input image. The lossless compression technique can be applied to video also but this is seldom used, as the lossy compression provides better compression ratios…
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Produktdetails
Weitere Autoren: Hasan, Abul Fazal Mohammad Kamrul / Mia, Md. Shukur
- ISBN: 978-620-2-05586-4
- EAN: 9786202055864
- Produktnummer: 37495693
- Verlag: LAP Lambert Academic Publishing
- Sprache: Englisch
- Erscheinungsjahr: 2017
- Seitenangabe: 88 S.
- Masse: H22.0 cm x B15.0 cm x D0.5 cm 149 g
- Abbildungen: Paperback
- Gewicht: 149
Über den Autor
Mehnaz Tabassum, MSc in Computer Science & Engineering, Assistant Professor, Department of CSE, Jagannath University, Dhaka, Bangladesh. Along with me, Abul Fazal Mohammad Kamrul Hasan and Md. Shukur Mia take part in completing this research and both of them successfully completed MSc in CSE from Jagannath University.
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