TY - GEN
T1 - Influence of noise filtering in coding computed tomography with JPEG2000
AU - Muñoz-Gómez, Juan
AU - Bartrina-Rapesta, Joan
AU - Marcellin, Michael W.
AU - Serra-Sagristá, Joan
PY - 2011
Y1 - 2011
N2 - Radiation exposure increases the risk of inducing cancer in a patient when Computed Tomography is performed. Radiologists reduce the radiation dose to minimize the risk of cancer, consequently, noise is introduced in the image, considerably penalizing its quality. To enhance the quality of the image, different noise filters are developed. The filtered noise can be discarded due to its insignificance for the medical diagnosis. In this research, a coding scheme for Computed Tomography with JPEG2000 including a noise filtering stage is proposed. The JPEG2000 standard is selected in our coding approach because: it is supported in DICOM, the communication protocol in the medical setting, it includes progressive lossy-to-lossless coding, and it incorporates JPIP, the interactive transmission protocol. Extensive experimental tests using different images suggest that noise filtering does not penalize the visual quality, but allows substantial improvements in coding performance.
AB - Radiation exposure increases the risk of inducing cancer in a patient when Computed Tomography is performed. Radiologists reduce the radiation dose to minimize the risk of cancer, consequently, noise is introduced in the image, considerably penalizing its quality. To enhance the quality of the image, different noise filters are developed. The filtered noise can be discarded due to its insignificance for the medical diagnosis. In this research, a coding scheme for Computed Tomography with JPEG2000 including a noise filtering stage is proposed. The JPEG2000 standard is selected in our coding approach because: it is supported in DICOM, the communication protocol in the medical setting, it includes progressive lossy-to-lossless coding, and it incorporates JPIP, the interactive transmission protocol. Extensive experimental tests using different images suggest that noise filtering does not penalize the visual quality, but allows substantial improvements in coding performance.
UR - http://www.scopus.com/inward/record.url?scp=79955731128&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79955731128&partnerID=8YFLogxK
U2 - 10.1109/DCC.2011.48
DO - 10.1109/DCC.2011.48
M3 - Conference contribution
AN - SCOPUS:79955731128
SN - 9780769543529
T3 - Data Compression Conference Proceedings
SP - 413
EP - 422
BT - Proceedings - DCC 2011
T2 - 2011 Data Compression Conference, DCC 2011
Y2 - 29 March 2011 through 31 March 2011
ER -