Modified spiht algorithm for quincunx wavelet image coding

Abstract

<span lang="EN-US">In this paper, an image compression method based on the Quincunx algorithm coupled with the modified SPIHT encoder (called SPIHT-Z) is presented. The SPIHT-Z encoder (coupled with quincunx transform) provides better compression results compared with two other algorithms: conventional wavelet and quincunx both coupled with the SPIHT encoder. The obtained results, using the algorithm that applies (Quincunx with SPIHT-Z) are evaluated by image quality evaluation parameters (PSNR, MSSIM, and VIF). The compression results on twenty test images showed that the proposed algorithm achieved better levels of the image evaluation parameters at low bit rates.</span>

Evaluation of Textural Degradation in Compressed Medical and Biometric Images by Analyzing Image Texture Features and Edges

“…•Lifting Quincunx wavelet transform with SPIHT-Z encoder (QWT-SPIHTZ) algorithm used from Bouida et al [52] and Benyahia et al [61].…”

Quality and texture analysis of biometric images compressed with second-generation wavelet transforms and SPIHT-Z encoder

“…However, some authors like in [22,23] presented a lifting scheme for the Quincunx Wavelet transform. In our work, the algorithm model of the used quincunx image decomposition is taken from [24] and [25]. In elementary Wavelet-Based compression scheme, we couple the transform phase to an entropic encoder process.…”

“…Recently, others new modified version of SPIHT was presented in literature, the most recent and important was the modified version developed by Benyahia et al [25] and called SPIHT-Z. This version is especially adapted on the quincunx decomposition structure and it proved its performances especially in low rates.…”