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Evaluation of medical image compression by Gabor elementary functions

机译:用Gabor基本函数评估医学图像压缩

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Abstract: Compression methods based on Gabor functions are implemented for simulated nuclear medicine liver images with and without simulated lesions. The quality of the compression schemes are assessed objectively by comparing the original images to the compressed images through calculation of the Hotelling trace, an index shown to track with human observers for images from this modality. For compression based on thresholding the complex Gabor coefficients, better than 2:1 compression is obtained without significant degradation in image quality. !
机译:摘要:基于Gabor函数的压缩方法适用于有或没有模拟病变的模拟核医学肝脏图像。通过计算Hotelling迹线,比较原始图像和压缩图像,可以客观地评估压缩方案的质量,Hotelling迹线是一种索引,用于显示与人类观察者一起跟踪的图像。对于基于阈值的复数Gabor系数进行压缩,可以获得优于2:1的压缩率,而不会显着降低图像质量。 !

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