Abstract
In the past few years, there has been a tremendous increase in the need for the amount of information stored in the form of images especially from Remote Sensing Satellites. Recently there has been a exponentially conversion of conventional analog images to digital images. The volume of digitized image being very high will considerably slow down the transmission and storage of such images. Therefore there is strong need of compression of the images by extracting the visible elements which are encoded and transmitted. This paper compares different image compression techniques such as JPEG (Joint Picture Expert Group), JPEG2000 (Joint Picture Expert Group-2000), and SPIHT (Set Partitioning in Hierarchical Tree) using a set of objective picture quality measures like Peak Signal to Noise Ratio (PSNR) and Mean Square Error (MSE) have been used to measure the picture quality and comparison has been done based upon the results of these quality measures. Standard test images were assessed with different compression ratios. It is found that the JPEG2000 based compression has achieved better results as compared to SPIHT and JPEG for all compressions and images were produced showing better image quality.
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Sarup, J., Bharti, J., Baronia, A. (2014). Implementation of Wavelet Based and Discrete Cosine Based Algorithm on Panchromatic Image. In: Bandt, C., Barnsley, M., Devaney, R., Falconer, K., Kannan, V., Kumar P.B., V. (eds) Fractals, Wavelets, and their Applications. Springer Proceedings in Mathematics & Statistics, vol 92. Springer, Cham. https://doi.org/10.1007/978-3-319-08105-2_32
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DOI: https://doi.org/10.1007/978-3-319-08105-2_32
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