Singh S, Kumar V, Verma H K
Electrical Engineering Department, Indian Institute of Technology, Roorkee, Uttaranchal, 247 667, India.
J Med Eng Technol. 2007 Mar-Apr;31(2):129-43. doi: 10.1080/03091900500421255.
In view of the increasing importance of medical imaging in healthcare and the large amount of image data to be transmitted/stored, the need for development of an efficient medical image compression method, which would preserve the critical diagnostic information at higher compression, is growing. Discrete cosine transform (DCT) is a popular transform used in many practical image/video compression systems because of its high compression performance and good computational efficiency. As the computational burden of full frame DCT would be heavy, the image is usually divided into non-overlapping sub-images, or blocks, for processing. This paper aims to identify the optimum size of the block, in reference to compression of CT, ultrasound and X-ray images. Three conflicting requirements are considered, namely processing time, compression ratio and the quality of the reconstructed image. The quantitative comparison of various block sizes has been carried out on the basis of benefit-to-cost ratio (BCR) and reconstruction quality score (RQS). Experimental results are presented that verify the optimality of the 16 x 16 block size.
鉴于医学成像在医疗保健中的重要性日益增加以及需要传输/存储的大量图像数据，开发一种高效的医学图像压缩方法的需求日益增长，该方法应在更高压缩率下保留关键诊断信息。离散余弦变换（DCT）因其高压缩性能和良好的计算效率而成为许多实际图像/视频压缩系统中常用的变换。由于全帧DCT的计算负担较重，图像通常被划分为不重叠的子图像或块进行处理。本文旨在参考CT、超声和X射线图像的压缩，确定块的最佳大小。考虑了三个相互冲突的要求，即处理时间、压缩率和重建图像的质量。基于效益成本比（BCR）和重建质量得分（RQS）对各种块大小进行了定量比较。给出的实验结果验证了16×16块大小的最优性。
