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Xiaoyan Wang,Baochen Jiang,Chengyou Wang,Zhiqiang Yang,Xiaoyan Wang 보안공학연구지원센터 2014 International Journal of Signal Processing, Image Vol.7 No.5
With the development of the theory of wavelet transform, biorthogonal wavelet filter banks with linear phase and compact support characteristics are widely used in signal and image processing. We study the multiscale edge detection using anti-symmetrical biorthogonal wavelet filter banks with the same even length based on the analysis of the properties of this wavelet filter banks. The steps of multiscale edge detection based on anti-symmetrical biorthogonal wavelet are introduced in detail. Experimental results on test images show that compared with the anti-symmetrical biorthogonal wavelet, the proposed anti-symmetrical biorthogonal wavelet filter banks with the same even length have better performance in terms of image edge detection. Therefore, the anti-symmetrical biorthogonal wavelet filter banks with the same even length are more suitable for image edge detection.
Color Image Compression Based on Directional All Phase Biorthogonal Transform
Chunxiao Zhang,Chengyou Wang,Baochen Jiang 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.1
There are images in which some directional edges other than the vertical or horizontal ones dominate. So the conventional discrete cosine transform (DCT) may not be the best choice for them. Directional DCT framework is able to provide a better coding performance for image blocks that contain directional edges. In addition, the all phase biorthogonal transform (APBT) algorithm can improve the performance of compression. In the light of directional DCT and APBT, directional APBT is proposed and applied to color image coding. Experimental results show that this framework can indeed improve the compression performance of color image remarkably.
Video Compression Algorithm Based on Directional All Phase Biorthogonal Transform and H.263
Chunxiao Zhang,Chengyou Wang,Baochen Jiang 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.3
The vertical or horizontal edges don’t dominate in some frames of video sequence, so the conventional discrete cosine transform (DCT) may not be the best choice for those frames. Directional DCT framework behaves better than conventional DCT in coding performance for images where directional edges dominate. In addition, the all phase biorthogonal transform (APBT), which is used in image compression instead of DCT, can also help to improve the performance of compression. In the light of directional DCT and APBT, directional APBT (D- APBT) is proposed and applied to H.263 video coding. Experimental results show that this framework can indeed improve the coding performance remarkably.
A Method of Image Identification in Instrumentation
Xiaoli Wang,Shilin Wang,Baochen Jiang 한국정보처리학회 2018 Journal of information processing systems Vol.14 No.3
Smart city is currently the main direction of development. The automatic management of instrumentation isone task of the smart city. Because there are a lot of old instrumentation in the city that cannot be replacedpromptly, how to makes low-cost transformation with Internet of Thing (IoT) becomes a problem. This articlegives a low-cost method that can identify code wheel instrument information. This method can effectivelyidentify the information of image as the digital information. Because this method does not require a lot ofmemory or complicated calculation, it can be deployed on a cheap microcontroller unit (MCU) with low readonlymemory (ROM). At the end of this article, test result is given. Using this method to modify the oldinstrumentation can achieve the automatic management of instrumentation and can help build a smart city.
A Method of Image Identification in Instrumentation
Wang, Xiaoli,Wang, Shilin,Jiang, Baochen Korea Information Processing Society 2018 Journal of information processing systems Vol.14 No.3
Smart city is currently the main direction of development. The automatic management of instrumentation is one task of the smart city. Because there are a lot of old instrumentation in the city that cannot be replaced promptly, how to makes low-cost transformation with Internet of Thing (IoT) becomes a problem. This article gives a low-cost method that can identify code wheel instrument information. This method can effectively identify the information of image as the digital information. Because this method does not require a lot of memory or complicated calculation, it can be deployed on a cheap microcontroller unit (MCU) with low read-only memory (ROM). At the end of this article, test result is given. Using this method to modify the old instrumentation can achieve the automatic management of instrumentation and can help build a smart city.