The Effect of Set Partitioning in Hierarchical Trees with Wavelet Decomposition Levels Algorithm for Image Compression
Abstract
The transfer and storage of images is done through compression technology using various transformations to find suitable transformations for image analysis and compression, wavelet based images are analyzed with image compression technology, which is necessary for channel image transmission. The purpose of this article is to determine the appropriate wavelengths for compressing images by recording the parameters that are created by compressing and using an appropriate compression method. The compression method Set Partitioning in Hierarchical Trees (SPIHT) is used to obtain a better compression of the image with a high compression ratio using different wavelets and to compare the results that the techniques were implemented in the Matlab program through the results such as basic criteria for the compressed image quality scale.
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DOI: https://doi.org/10.18686/esta.v7i3.126
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