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首页> 外文期刊>International Journal of Wavelets, Multiresolution and Information Processing >JPEG2000 AND JPEG: A STATISTICAL APPROACH FOR LOSSILY COMPRESSED MEDICAL IMAGES QUALITY EVALUATION
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JPEG2000 AND JPEG: A STATISTICAL APPROACH FOR LOSSILY COMPRESSED MEDICAL IMAGES QUALITY EVALUATION

机译：JPEG2000和JPEG：有损压缩医学图像质量评估的统计方法

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摘要

Image compression will always reduce the image fidelity, especially when the image is compressed at lower bit rates, which cannot be tolerated, especially in medical field. But compression is necessary due to the constraint of transmission bandwidth and the limited storage capacity. In this paper, the bad compression performance of the new JPEG2000 and the more conventional JPEG are studied. Besides, using the common objective measures such as Peak Signal-to-Noise Ratio (PSNR) and Root Mean Square Error (RMSE) as the standard quality measurements, we focus more on the statistical and frequency measures as the image characteristics evaluation. Four types of medical modalities are used: X-ray, Magnetic Resonance Imaging (MRI), Ultrasound and Computed Tomography (CT). From these various measurements, we found the general acceptance compression bit rate for each of the medical modalities.
机译：图像压缩将始终降低图像保真度，特别是当图像以较低的比特率压缩时，这是不能容忍的，尤其是在医疗领域。但是由于传输带宽的限制和有限的存储容量，压缩是必要的。本文研究了新的JPEG2000和更传统的JPEG的不良压缩性能。此外，使用峰值信噪比（PSNR）和均方根误差（RMSE）等通用客观指标作为标准质量指标，我们将重点更多地放在统计和频率指标上作为图像特征评估。使用四种类型的医疗模式：X射线，磁共振成像（MRI），超声和计算机断层扫描（CT）。通过这些不同的测量，我们发现了每种医疗模式的通用压缩比特率。

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