Discrete cosine transform JPEG compression vs. 2D JPEG2000 compression: JNDmetrix visual discrimination model image quality analysis

摘要

The JPEG2000 compression standard is increasingly a preferred industry method for 2D image compression. Somevendors, however, continue to use proprietary discrete cosine transform (DCT) JPEG encoding. This study comparesimage quality in terms of just-noticeable differences (JNDs) and peak signal-to-noise ratios (PSNR) between DCT JPEGencoding and JPEG2000 encoding. Four computed tomography and 6 computed radiography studies were compressedusing a proprietary DCT JPEG encoder and JPEG2000 standard compression. Image quality was measured in JNDs andPSNRs. The JNDmetrix computational visual discrimination model simulates known physiological mechanisms in thehuman visual system, including the luminance and contrast sensitivity of the eye and spatial frequency and orientationresponses of the visual cortex. Higher JND values indicate that a human observer would be more likely to notice asignificant difference between compared images. DCT JPEG compression showed consistently lower image distortionsat lower compression ratios, whereas JPEG2000 compression showed benefit at higher compression ratios (>50:1). Thecrossover occurred at ratios that varied among the images. The magnitude of any advantage of DCT compression at lowratios was often small. Interestingly, this advantage of DCT JPEG compression at lower ratios was generally notobserved when image quality was measured in PSNRs. These results suggest that DCT JPEG may outperformJPEG2000 for compression ratios generally used in medical imaging and that the differences between DCT andJPEG2000 could be visible to observers and thus clinically significant.