Paper
25 May 1989 Adaptive Block Cosine Transform Coding Using A New Quantization Algorithm
Hisashi Yonekawa, Yoshiyuki Ishimitsu, Junichirou Akune, Hiroshi Takeuchi
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Abstract
We have studied the problem of adaptive cosine transform coding, and developed an original quantization algorithm which can minimize block artifacts. There are three features in our compression technique. The first feauture is variable quantization interval. The quantization interval is determined adaptively depending on the statistical characteristics of the block. In our technique, the number of AC components which are rounded off to zero by quantization is used for the quantization parameter. The second feature is the adaptive cutoff of the high frequency components of the transform coefficients. High frequency components may be ignored adaptively in our technique. The third feature is the double quantization algorithm. Non-adaptive quantization is carried out first. The second quantization is performed adaptively.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hisashi Yonekawa, Yoshiyuki Ishimitsu, Junichirou Akune, and Hiroshi Takeuchi "Adaptive Block Cosine Transform Coding Using A New Quantization Algorithm", Proc. SPIE 1093, Medical Imaging III: PACS System Design and Evaluation, (25 May 1989); https://doi.org/10.1117/12.953363
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Cited by 6 scholarly publications.
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KEYWORDS
Quantization

Image compression

Medical imaging

Picture Archiving and Communication System

Imaging systems

Algorithm development

Image quality

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