A Lossless Video Compression Method Based on Adaptive Linear Predictive Coding Using Spatio-temporal Hilbert Scanning.
Yukihiro Bando, Takamasa Yokoyama, Sei‐ichiro Kamata
Abstract
Open-access reader
Yukihiro Bando, Takamasa Yokoyama, Sei‐ichiro Kamata
Abstract
Open-access reader
In video processing, compression techniques are required to improve the efficiency of transmission and storage of video data. Data compression methods can be classified into two basically different categories : lossy compression methods and lossless compression methods. Lossless compression methods are required for medical image processing and for compressions broadcast materials. We developed a novel video lossless compression method using the Hilbert curve, by mapping the three-dimensional data to one-dimensional data along the curve and then applying adaptive linear prediction coding to the one-dimensional data. Experimental results show that better compression ratio is obtained with our method than with lossless JPEG, although the processing time for both methods is almost equal.
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In video processing, compression techniques are required to improve the efficiency of transmission and storage of video data. Data compression methods can be classified into two basically different categories : lossy compression methods and lossless compression methods. Lossless compression methods are required for medical image processing and for compressions broadcast materials. We developed a novel video lossless compression method using the Hilbert curve, by mapping the three-dimensional data to one-dimensional data along the curve and then applying adaptive linear prediction coding to the one-dimensional data. Experimental results show that better compression ratio is obtained with our method than with lossless JPEG, although the processing time for both methods is almost equal.
Key concepts: Lossy compression, Lossless compression, Data compression, Lossless JPEG, Adaptive coding, Computer science, Data compression ratio, Image compression