Coronary angiography is an X-ray examination of the heart's arteries. This is an essential technique for diagnosis of heart damages. Image sequences from digital angiography contain areas of high diagnostic interest. Loss of information due to compression for regions of interest (ROI) in angiograms is not tolerable. Since Commercially available technology such as JPEG and MPEG do not satisfy medical requirements due to their severe blockartifacts. In this paper, a new compression algorithm that achieves high compression ratio and excellent reconstruction quality for video rate or sub-video rate angiograms is developed. The proposed algorithm exploits temporal spatial and spectral redundancies in backward adaptive fashion with Extremely low side information. An experimental result shows that the proposed scheme provides significant improvements in compression efficiencies.
MURTY, T. VISHNU; KALYAN, P.; and BHAVANI, P.
"MICROANGIOGRAM VIDEO COMPRESSION USING ADAPTIVE PREDICTION,"
International Journal of Electronics Signals and Systems: Vol. 3
, Article 8.
Available at: https://www.interscience.in/ijess/vol3/iss2/8