Titlebook: Digital TV and Multimedia Communication; 15th International F Guangtao Zhai,Jun Zhou,Xiaokang Yang Conference proceedings 2019 Springer Nat

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書目名稱Digital TV and Multimedia Communication影響因子(影響力)




書目名稱Digital TV and Multimedia Communication影響因子(影響力)學(xué)科排名




書目名稱Digital TV and Multimedia Communication網(wǎng)絡(luò)公開度




書目名稱Digital TV and Multimedia Communication網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Digital TV and Multimedia Communication被引頻次




書目名稱Digital TV and Multimedia Communication被引頻次學(xué)科排名




書目名稱Digital TV and Multimedia Communication年度引用




書目名稱Digital TV and Multimedia Communication年度引用學(xué)科排名




書目名稱Digital TV and Multimedia Communication讀者反饋




書目名稱Digital TV and Multimedia Communication讀者反饋學(xué)科排名

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Enhanced Saliency Prediction via Free Energy Principleage area relative to its surroundings. However, only few studies have investigated how human brain activities affect saliency prediction. In this paper, we propose an enhanced saliency prediction model via free energy principle. A new AR-RTV model, which combines the relative total variation (RTV) s

Ferritin

Design of 2D Checkboard Nonuniform Directional Filter Banks and Its Application to Image Nonlinear Aing 1D nonuniform filter banks and 2D quadrant filter bank, which can efficiently separate two different directional subbands mixed in one frequency subband. Since the involved 1D nonuniform filter banks and 2D quadrant filter bank are both non-redundant, the resulted 2D nonuniform DFBs also have th

暴露他抗議

Super-Resolution Restoration for Sonar Images: Comprehensive Comparisonhoot images in relatively dim light underwater, sonar has been more and more widely used during recent years. However, images taken by sonar usually have low resolution due to the positive correlation between sonar image resolution and frequency of sonar sensors, as well as the negative relationship

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indubitable

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Locally Adaptive Noise Covariance Estimation for Color Imagesr grayscale images. For color images, these methods simply handle each color channel independently, without considering the correlation across channels. Moreover, these methods often assume a globally fixed noise model throughout the entire image, neglecting the adaptiveness to the local structures.

GRACE

SAR Image Change Detection Using Several Filters Combined with Log Difference Image images are combined, and the difference image is generated by the method of log difference map. Here we try to use LEE filtering, Frost filtering, and wavelet threshold denoising SAR images using hard threshold and soft threshold functions to suppress the speckle noise of the symlet4 wavelet basis

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