教師資料查詢 | 類別: 期刊論文 | 教師: 郭經華 KUO, CHIN-HWA (瀏覽個人網頁)

標題:An efficient spatial prediction-based image compression scheme
學年91
學期1
出版(發表)日期2002/10/01
作品名稱An efficient spatial prediction-based image compression scheme
作品名稱(其他語言)
著者Kuo, Chin-hwa; Chou, Tzu-chuan; Wang, Tay-shen
單位淡江大學資訊工程學系
出版者Piscataway: Institute of Electrical and Electronics Engineers (IEEE)
著錄名稱、卷期、頁數IEEE Transactions on Circuits and Systems For Video Technology 12(10), pp.850-856
摘要We have designed a spatial prediction-based image-compression scheme. The proposed scheme consists of two phases: the prediction phase and the quantization phase. In the prediction phase, a hierarchical structure among pixels in the image is built. Following the constructed hierarchical structure, the neighboring pixels are utilized to predict every central pixel. The prediction scheme generates an image map which indicates the prediction errors. The structure of the resulting image map is very similar to the result of a discrete wavelet transform. Thus, most quantization methods of wavelet or subband image-compression algorithms can be followed in our scheme directly to yield good compression performance. In the quantization phase, we design a multilevel threshold scheme to further enhance the result of SPIHT by taking the significance of the pixel values and the hierarchical levels into account. Furthermore, the proposed scheme can be realized by only a few integer additions and bit shifts. Simulation results indicate that the visual quality of the designed efficient spatial prediction-based image compression scheme is competitive with JPEG. All the above features make the designed image-compression scheme beneficial to the applications of real-time and wireless transmission in low-computational power environments.
關鍵字Algorithms; Computer simulation; Hierarchical systems; Image coding; Wavelet transforms; Quantization phase; Image compression
語言英文
ISSN1051-8215
期刊性質國外
收錄於SCI;EI
產學合作
通訊作者
審稿制度
國別美國
公開徵稿
出版型式紙本
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