中国开放科研知识云: 检索

Color-Boosted Saliency-Guided Rotation Invariant Bag of Visual Words Representation with Parameter Transfer for Cross-Domain Scene-Level Classification 期刊论文
REMOTE SENSING, 2018, 卷号: 10, 期号: 4
作者: Yan, Li; Zhu, Ruixi; Liu, Yi; Mo, Nan

收藏 | 浏览/下载：3/0 | 提交时间：2019/12/05

Bag of Visual Words ( BOVW) color-boosted global contrast-based salient region detection method rotation invariant BOVW representation transfer of SVM parameters from the source to the target domain cross-domain scene classification

Learning Discriminative Subspaces on Random Contrasts for Image Saliency Analysis 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2017
Fang, Shu; Li, Jia; Tian, Yonghong; Huang, Tiejun; Chen, Xiaowu

收藏 | 浏览/下载：10/0 | 提交时间：2017/12/03

Fixation prediction learning-based model random contrast subspace analysis visual saliency VISUAL SALIENCY REGION DETECTION NATURAL STATISTICS VIDEO COMPRESSION GLOBAL FEATURES EYE-MOVEMENTS ATTENTION SCENE MODEL FRAMEWORK

Objective Quality Assessment of Screen Content Images by Uncertainty Weighting 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017
Fang, Yuming; Yan, Jiebin; Liu, Jiaying; Wang, Shiqi; Li, Qiaohong; Guo, Zongming

收藏 | 浏览/下载：3/0 | 提交时间：2017/12/03

Visual quality assessment screen content image full-reference quality assessment uncertainty weighting NATURAL SCENE STATISTICS STRUCTURAL SIMILARITY CONTRAST INFORMATION LUMINANCE GRADIENT FUSION

Reversible Data Hiding: Advances in the Past Two Decades 期刊论文
IEEE ACCESS, 2016
Shi, Yun-Qing; Li, Xiaolong; Zhang, Xinpeng; Wu, Hao-Tian; Ma, Bin

收藏 | 浏览/下载：5/0 | 提交时间：2017/12/04

Reversible data hiding lossless data hiding invertible data hiding histogram shifting difference expansion prediction-error sorting robust reversible data hiding video reversible data hiding audio reversible data hiding INTEGER WAVELET TRANSFORM IMAGE QUALITY ASSESSMENT EXPANSION EMBEDDING TECHNIQUES PREDICTION-ERROR EXPANSION NATURAL SCENE STATISTICS EDGE SENSING PREDICTION DIFFERENCE EXPANSION ENCRYPTED IMAGES HISTOGRAM-MODIFICATION CONTRAST ENHANCEMENT

基于视觉认知的禁令交通标志检测 期刊论文
北京大学学报自然科学版, 2015
胡晓光; 程承旗; 李德仁

收藏 | 浏览/下载：2/0 | 提交时间：2017/12/03

交通标志检测街景显著性分析视觉反差 traffic sign detection street scene saliency analysis visual contrast

The ship-borne infrared searching and tracking system based on the inertial platform (EI CONFERENCE) 会议论文
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
Li Y.; Zhang H.

收藏 | 浏览/下载：26/0 | 提交时间：2013/03/25

As a result of the radar system got interferenced or in the state of half silent it can cause the guided precision drop badly In the modern electronic warfare therefore it can lead to the equipment depended on electronic guidance cannot strike the incoming goals exactly. It will need to rely on optoelectronic devices to make up for its shortcomings but when interference is in the process of radar leading especially the electro-optical equipment is influenced by the roll pitch and yaw rotation it can affect the target appear outside of the field of optoelectronic devices for a long time so the infrared optoelectronic equipment can not exert the superiority and also it cannot get across weapon-control system "reverse bring" missile against incoming goals. So the conventional ship-borne infrared system unable to track the target of incoming quickly the ability of optoelectronic rivalry declines heavily.Here we provide a brand new controlling algorithm for the semi-automatic searching and infrared tracking based on inertial navigation platform. Now it is applying well in our XX infrared optoelectronic searching and tracking system. The algorithm is mainly divided into two steps: The artificial mode turns into auto-searching when the deviation of guide exceeds the current scene under the course of leading for radar.When the threshold value of the image picked-up is satisfied by the contrast of the target in the searching scene the speed computed by using the CA model Least Square Method feeds back to the speed loop. And then combine the infrared information to accomplish the closed-loop control of the infrared optoelectronic system tracking. The algorithm is verified via experiment. Target capturing distance is 22.3 kilometers on the great lead deviation by using the algorithm. But without using the algorithm the capturing distance declines 12 kilometers. The algorithm advances the ability of infrared optoelectronic rivalry and declines the target capturing time by using semi-automatic searching and reliable capturing-tracking when the lead deviation of the radar is great. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).

基于多传感器图像融合技术的鲁棒景象匹配算法 期刊论文
2010, 2010
刘宝生; 闫莉萍; 周东华; LIU Bao-sheng; YAN Li-ping; ZHOU Dong-hua

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R-D域对比度最小化解SAR Doppler模糊 期刊论文
2010, 2010
于明成; 许稼; 彭应宁; YU Mingcheng; XU Jia; PENG Yingning

收藏 | 浏览/下载：4/0

Restoration of an atmospherically blurred image based on physical model fusion approach (EI CONFERENCE) 会议论文
2010 IEEE 10th International Conference on Signal Processing, ICSP2010, October 24, 2010 - October 28, 2010, Beijing, China
Li J.; Wang Y.; Sun H.; Tian R.; Zhang Y.

收藏 | 浏览/下载：19/0 | 提交时间：2013/03/25

This paper proposes a new restoration method only using the single image information combining atmospheric physical model with fusion techniques to reduce the degradation of the image contrast in bad weather conditions caused by atmospheric aerosols such as haze and fog. The basic idea of this method is to utilize physics-based model method instead of multisensors to generate a serial of virtual images and then to fuse those virtual images into a high contrast image based on the wavelet fusion technique. In contrast to previous methods our restoration technique is not only independent on predicted structure distributions of scene reflectance or detailed knowledge about the particular weather condition but also adapt to the situation without a reference image or images with moving objects captured by a video camera. Experiments on different poorcontrast images demonstrate the availability of the proposed method in case of restoring the atmospherically blurred images. 2010 IEEE.

An edge extracting method of fuzzy thresholding value (EI CONFERENCE) 会议论文
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
Gu R.; Zhu M.

收藏 | 浏览/下载：14/0 | 提交时间：2013/03/25

This paper discusses image's object edge extracting of threshold value. First this paper introduces fundamental principle of gray image object edge extracting after discussing the influence of object edge image's gray scale distributing characteristic and choice of threshold value to character extracting and target identification we bring forward a sort of method which using object edge fuzzy taxonomy and maximum fuzzy entropy theory to auto choose threshold value in the case that membership function is given then we have a test of threshold value segmentation to edge gray image in different contrast the result indicates this method has preferable scene adaptive faculty.

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