Tags

Type your tag names separated by a space and hit enter

Indirect digital images: limit of image compression for diagnosis in endodontics.
Int Endod J. 2002 Dec; 35(12):991-5.IE

Abstract

AIM

To analyse the impact of the loss of information that results from the compression of a file containing a radiographic image.

METHODOLOGY

Fourteen intraoral radiographs were digitized employing an AGFA ARCUS II scanner at an optical resolution of 300 ppi and with a grey scale of 8 bytes. The images were stored in Tagged Image File Format (TIFF). The files were compressed with no information loss with the WinZip 8.0 program. Compression with information loss was performed using the Photoshop 5.0 program (Adobe Systems Inc., San José, CA. USA) and the Joint Photograph Expert (Group (JPEG) format. Each of the images was compressed to one of the 11 qualities available (10-0). An expert performed the qualitative analysis. The quantitative analysis involved digital subtraction with each of the JPEG images to yield a new image using Photoshop 5.). The histograms of grey values were submitted to statistical analysis. The mean and standard deviation were calculated for each image.

RESULTS

The data revealed that a JPEG lossy compression, six times smaller than the original TIFF, is compatible with diagnostic applications.

CONCLUSIONS

The compression ratio calculated as the quotient between the file sizes and the standard deviation of the values corresponding to the image that resulted from digital subtraction may be employed to assess the outcome of the compression process and guarantee adequate quality.

Authors+Show Affiliations

Department of Endodontics, School of Dentistry, Universidad Nacional de Rosario, Santa Fe, Rosario, Argentina. msiragus@arnet.com.arNo affiliation info available

Pub Type(s)

Comparative Study
Journal Article

Language

eng

PubMed ID

12653317

Citation

Siragusa, M, and D J. McDonnell. "Indirect Digital Images: Limit of Image Compression for Diagnosis in Endodontics." International Endodontic Journal, vol. 35, no. 12, 2002, pp. 991-5.
Siragusa M, McDonnell DJ. Indirect digital images: limit of image compression for diagnosis in endodontics. Int Endod J. 2002;35(12):991-5.
Siragusa, M., & McDonnell, D. J. (2002). Indirect digital images: limit of image compression for diagnosis in endodontics. International Endodontic Journal, 35(12), 991-5.
Siragusa M, McDonnell DJ. Indirect Digital Images: Limit of Image Compression for Diagnosis in Endodontics. Int Endod J. 2002;35(12):991-5. PubMed PMID: 12653317.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Indirect digital images: limit of image compression for diagnosis in endodontics. AU - Siragusa,M, AU - McDonnell,D J, PY - 2003/3/26/pubmed PY - 2003/6/5/medline PY - 2003/3/26/entrez SP - 991 EP - 5 JF - International endodontic journal JO - Int Endod J VL - 35 IS - 12 N2 - AIM: To analyse the impact of the loss of information that results from the compression of a file containing a radiographic image. METHODOLOGY: Fourteen intraoral radiographs were digitized employing an AGFA ARCUS II scanner at an optical resolution of 300 ppi and with a grey scale of 8 bytes. The images were stored in Tagged Image File Format (TIFF). The files were compressed with no information loss with the WinZip 8.0 program. Compression with information loss was performed using the Photoshop 5.0 program (Adobe Systems Inc., San José, CA. USA) and the Joint Photograph Expert (Group (JPEG) format. Each of the images was compressed to one of the 11 qualities available (10-0). An expert performed the qualitative analysis. The quantitative analysis involved digital subtraction with each of the JPEG images to yield a new image using Photoshop 5.). The histograms of grey values were submitted to statistical analysis. The mean and standard deviation were calculated for each image. RESULTS: The data revealed that a JPEG lossy compression, six times smaller than the original TIFF, is compatible with diagnostic applications. CONCLUSIONS: The compression ratio calculated as the quotient between the file sizes and the standard deviation of the values corresponding to the image that resulted from digital subtraction may be employed to assess the outcome of the compression process and guarantee adequate quality. SN - 0143-2885 UR - https://www.unboundmedicine.com/medline/citation/12653317/Indirect_digital_images:_limit_of_image_compression_for_diagnosis_in_endodontics_ DB - PRIME DP - Unbound Medicine ER -