Content dependent intra mode selection for medical image compression using HEVC

S Parikh, D Ruiz, H Kalva…�- 2016 IEEE�…, 2016 - ieeexplore.ieee.org
2016 IEEE International Conference on Consumer Electronics (ICCE), 2016ieeexplore.ieee.org
This paper presents a method for complexity reduction in medical image encoding that
exploits the structure of medical images. The amount of texture detail and structure in
medical images depends on the modality used to capture the image and the body part
captured by that image. The proposed approach was evaluated using Computed
Radiography (CR) modality, commonly known as x-ray imaging, and three body parts. The
proposed method essentially reduces the number of CU partitions evaluated as well as the�…
This paper presents a method for complexity reduction in medical image encoding that exploits the structure of medical images. The amount of texture detail and structure in medical images depends on the modality used to capture the image and the body part captured by that image. The proposed approach was evaluated using Computed Radiography (CR) modality, commonly known as x-ray imaging, and three body parts. The proposed method essentially reduces the number of CU partitions evaluated as well as the number of intra prediction modes for each evaluated partition. Evaluation using the HEVC reference software (HM) 16.4 and lossless intra coding shows an average reduction of 52.47% in encoding time with a negligible penalty of up to 0.22%, increase in compressed file size.
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