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Low-Complexity, Lossless Volumetric Medical Image Compression with PPM-5& Linear Prediction

Shital Thombare

Several of today’s imaging techniques such as CT scan, MRI produces three dimensional data sets obtained by generating multiple slices in a single examination, with each slice representing a different cross section of the body part being imaged.These 3-D volumetric medical images are an important source of digital data that need lossless compression to be stored or transmitted. Several improvements have been made in lossless image compression field. These methods can be roughly divided into single pass & multiple pass techniques. Proposed system uses a low complexity, lossless, compression algorithm for the compression of 3-D volumetric medical images that exploits the three-dimensional nature of the data by using 3-D linear prediction.

Индексировано в

Индекс Коперника
Академические ключи
CiteFactor
Космос ЕСЛИ
РефСик
Университет Хамдарда
Всемирный каталог научных журналов
Импакт-фактор Международного инновационного журнала (IIJIF)
Международный институт организованных исследований (I2OR)
Cosmos

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