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Multi rate/resolution control in progressive medical image transmission for the region of interest (ROI) using EZW

机译:使用EZW对感兴趣区域(ROI)进行渐进医学图像传输时的多速率/分辨率控制

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Current progressive image transmission (PIT) systems can not control both bit rate and resolution constraints in images. Due to the partially localised nature of the wavelet transform, the value of any pixel in the image depends on only a small number of wavelet coefficients. Thus, it is possible to specify an arbitrary region of the image and prevent that region from being badly degraded during the compression process. This can be done by representing coefficients corresponding to those regions in the wavelet space more accurately. This is accomplished by multiplying those values by an arbitrary factor before applying the embedded zerotree wavelets (EZW) coding technique. The EZW algorithm is then effectively applied to, wavelet coefficients to refine and encode the most significant ones in the wavelet space. The information of the image is thus transmitted in several successive stages. It is shown that in a PIT system not only any region of interest (ROI) can be sent and received progressively, but also bitrate and resolution constraints can be controlled simultaneously. This option becomes very effective in interactive communication channels where the available bandwidth is at a premium.
机译:当前的渐进式图像传输(PIT)系统无法同时控制图像中的比特率和分辨率约束。由于小波变换的部分局部性质,图像中任何像素的值仅取决于少量的小波系数。因此,可以指定图像的任意区域,并防止该区域在压缩过程中严重劣化。这可以通过更精确地表示与小波空间中的那些区域相对应的系数来完成。这是通过在应用嵌入式零树小波(EZW)编码技术之前将这些值乘以任意因子来实现的。然后将EZW算法有效地应用于小波系数,以细化和编码小波空间中最重要的系数。图像的信息因此在几个连续的阶段中传输。结果表明,在PIT系统中,不仅可以逐步发送和接收任何感兴趣的区域(ROI),而且可以同时控制比特率和分辨率约束。在可用带宽非常宝贵的交互式通信通道中,此选项非常有效。

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