Efficiency spiht in compression and quality of image

Abstract EN

Image compression is an important tool to reduce the bandwidth and storage requirements of practical image systems.

To reduce the increasing demand of storage space and transmission time compression techniques are the need of the day.

Discrete time wavelet transforms based image codec using Set Partitioning In Hierarchical Trees (SPIHT) is implemented in this paper.

Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR) and Maximum Difference (MD) are used to measure the picture quality of reconstructed image.

MSE and PSNR are the most common picture quality measures.

Different kinds of test images are assessed in this work with different compression ratios.

The results show the high efficiency of SPIHT algorithm in image compression