Medical Video Coding Based on 2nd-Generation Wavelets: Performance Evaluation
Medical Video Coding Based on 2nd-Generation Wavelets: Performance Evaluation
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DOI：
10.3390/electronics8010088
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发表时间：
2019-01-01
期刊：
影响因子：
2.9
通讯作者：
Taleb-Ahmed, Abdelmalik
中科院分区：
文献类型：
--
作者：
Ferroukhi, Merzak;Ouahabi, Abdeldjalil;Taleb-Ahmed, Abdelmalik
医学数据，特别是图像的数字化、传输和存储操作，不仅在压缩比和信息流方面，而且在视觉质量方面，都需要越来越有效的编码方法。首先，有DCT（离散余弦变换），然后是DWT（离散小波变换）及其在编码和图像压缩方面的相关标准。第二代小波试图定位并面对当前使用的图像和视频编码方法。正是在这种背景下，我们提出了一种结合 bandelet 和 SPIHT（分层树中的集合划分）算法的方法。我们的方法有两个主要原因：第一个原因在于 Bandelet 变换的本质是利用捕获图像结构的几何复杂性。第二个原因是 SPIHT 编码器对 bandelet 系数进行编码的适用性。质量测量表明，在某些情况下（对于低比特率），所提出的编码的性能可与成熟的编码（H.264 或 MPEG4 AVC 和 H.265 或 MPEG4 HEVC）竞争，并在医学成像领域开辟新的应用前景。
The operations of digitization, transmission and storage of medical data, particularly images, require increasingly effective encoding methods not only in terms of compression ratio and flow of information but also in terms of visual quality. At first, there was DCT (discrete cosine transform) then DWT (discrete wavelet transform) and their associated standards in terms of coding and image compression. The 2nd-generation wavelets seeks to be positioned and confronted by the image and video coding methods currently used. It is in this context that we suggest a method combining bandelets and the SPIHT (set partitioning in hierarchical trees) algorithm. There are two main reasons for our approach: the first lies in the nature of the bandelet transform to take advantage of capturing the geometrical complexity of the image structure. The second reason is the suitability of encoding the bandelet coefficients by the SPIHT encoder. Quality measurements indicate that in some cases (for low bit rates) the performance of the proposed coding competes with the well-established ones (H.264 or MPEG4 AVC and H.265 or MPEG4 HEVC) and opens up new application prospects in the field of medical imaging.