Paper
26 May 1999 JPEG and wavelet compression of ophthalmic images
Robert H. Eikelboom, Kanagasingam Yogesan, Ian J. Constable, Christopher J. Barry
Author Affiliations +
Abstract
This study was designed to determine the degree and methods of digital image compression to produce ophthalmic imags of sufficient quality for transmission and diagnosis. The photographs of 15 subjects, which inclined eyes with normal, subtle and distinct pathologies, were digitized to produce 1.54MB images and compressed to five different methods: (i) objectively by calculating the RMS error between the uncompressed and compressed images, (ii) semi-subjectively by assessing the visibility of blood vessels, and (iii) subjectively by asking a number of experienced observers to assess the images for quality and clinical interpretation. Results showed that as a function of compressed image size, wavelet compressed images produced less RMS error than JPEG compressed images. Blood vessel branching could be observed to a greater extent after Wavelet compression compared to JPEG compression produced better images then a JPEG compression for a given image size. Overall, it was shown that images had to be compressed to below 2.5 percent for JPEG and 1.7 percent for Wavelet compression before fine detail was lost, or when image quality was too poor to make a reliable diagnosis.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Robert H. Eikelboom, Kanagasingam Yogesan, Ian J. Constable, and Christopher J. Barry "JPEG and wavelet compression of ophthalmic images", Proc. SPIE 3658, Medical Imaging 1999: Image Display, (26 May 1999); https://doi.org/10.1117/12.349457
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Image compression

Wavelets

Image quality

Error analysis

Visibility

Blood vessels

Eye

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