Medical Image Compression Based on Vector Quantization with Variable Block Sizes in Wavelet Domain
المؤلفون المشاركون
Ma, Zhiyuan
Hu, Yang
Yang, Benqiang
Zhang, Libo
Jiang, Huiyan
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2012، العدد 2012 (31 ديسمبر/كانون الأول 2012)، ص ص. 1-8، 8ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2012-09-19
دولة النشر
مصر
عدد الصفحات
8
التخصصات الرئيسية
الملخص EN
An optimized medical image compression algorithm based on wavelet transform and improved vector quantization is introduced.
The goal of the proposed method is to maintain the diagnostic-related information of the medical image at a high compression ratio.
Wavelet transformation was first applied to the image.
For the lowest-frequency subband of wavelet coefficients, a lossless compression method was exploited; for each of the high-frequency subbands, an optimized vector quantization with variable block size was implemented.
In the novel vector quantization method, local fractal dimension (LFD) was used to analyze the local complexity of each wavelet coefficients, subband.
Then an optimal quadtree method was employed to partition each wavelet coefficients, subband into several sizes of subblocks.
After that, a modified K-means approach which is based on energy function was used in the codebook training phase.
At last, vector quantization coding was implemented in different types of sub-blocks.
In order to verify the effectiveness of the proposed algorithm, JPEG, JPEG2000, and fractal coding approach were chosen as contrast algorithms.
Experimental results show that the proposed method can improve the compression performance and can achieve a balance between the compression ratio and the image visual quality.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Jiang, Huiyan& Ma, Zhiyuan& Hu, Yang& Yang, Benqiang& Zhang, Libo. 2012. Medical Image Compression Based on Vector Quantization with Variable Block Sizes in Wavelet Domain. Computational Intelligence and Neuroscience،Vol. 2012, no. 2012, pp.1-8.
https://search.emarefa.net/detail/BIM-480051
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Jiang, Huiyan…[et al.]. Medical Image Compression Based on Vector Quantization with Variable Block Sizes in Wavelet Domain. Computational Intelligence and Neuroscience No. 2012 (2012), pp.1-8.
https://search.emarefa.net/detail/BIM-480051
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Jiang, Huiyan& Ma, Zhiyuan& Hu, Yang& Yang, Benqiang& Zhang, Libo. Medical Image Compression Based on Vector Quantization with Variable Block Sizes in Wavelet Domain. Computational Intelligence and Neuroscience. 2012. Vol. 2012, no. 2012, pp.1-8.
https://search.emarefa.net/detail/BIM-480051
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-480051
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر