Abstract
Image compression is a compression coding technology used in digital image. It is applied to reduce redundant information in image data, thus making unit storage and ring data transfer more efficient. Interpolation algorithm is commonly used in image scaling for pixel processing, as to reduce the image distortion and blur. Considering the wavelet transform and wavelet transform coding ideas, a kind of wavelet transform and bilinear interpolation for image matching is presented. Combined with the SPIHT (Set Partitioning In Hierarchical Tree) coding scheme. Large number of experiments show that comparision with the original SPIHT algorithm, the new scheme has more prominent advantages in the peak signal to noise ratio, mean-square deviation and histogram. So this method can improve the effect of recovery image compression efficiently. With generality and flexibility, it is also suitable to process various formats and size of image.
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© 2011 Springer-Verlag Berlin Heidelberg
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Xiao-hong, Z., Gang, L. (2011). Research of the SPIHT Compression Based on Wavelet Interpolation Matching Image. In: Zeng, D. (eds) Applied Informatics and Communication. ICAIC 2011. Communications in Computer and Information Science, vol 225. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23220-6_1
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DOI: https://doi.org/10.1007/978-3-642-23220-6_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23219-0
Online ISBN: 978-3-642-23220-6
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