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Details for article 8 of 122 found articles
| Title: |
An Algorithm for Image Compression Using 2D Wavelet Transform |
| Author: |
ROHIT ARORA, ANJALI BALA NIDHIKA BIRLA, MADAN LAL SHARMA, |
| Appeared in: |
International journal of engineering science and technology |
| Paging: | Volume 3 (2011) nr. 4 pages 2758-2764 |
| Year: |
2011 |
| Contents: |
Compressing an image is significantly different than compressing raw binary data. Of course, general purpose compression programs can be used to compress images, but the result is less than optimal. This isbecause images have certain statistical properties which can be exploited by encoders specifically designed for them. Also, some of the finer details in the image can be sacrificed for the sake of saving a little more bandwidth or storage space. This also means that lossy compression techniques can be used in this area. The discrete wavelet is essentially sub band–coding system and sub band coders have been quit successful in speech and image compression. In this paper the standard image MASK is analyzed using wavelet techniques for image compression. The transformations used for wavelet transformations are Haar, Symlet, Coiflet and db4. The results in terms of compression ratio and MSE show that the Haar transformation has the best performance. The Haar transform is then used to compress the image up to four levels. The reconstructed image after every level of compression is also shown. It is clear that DWT has potential application in compression problem and the use of Haar transformation for Wavelet Transformation provides the best results. |
| Publisher: |
Engg Journals Publication (provided by DOAJ) |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 8 of 122 found articles
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