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Exposing Image Sharpen Forgeries Based on Dyadic Contrast Contourlet
Hua Zhen,Li Jinjiang 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.7
In order to distinguish the sharpening operation in a manipulated image, a sharpen forgeries detection algorithm is proposed. Combined with efficient image signal processing method, a new non-subsampled dyadic contourlet transform based on contrast à trous wavelet is designed. In contourlet domain, sharpening characteristics are analyzed by multi-scale and multi-directional methods. A classifier is trained by artificial intelligence methods to complete sharpening tampered image detection. Experimental results show that the algorithm in this paper can detect possible sharpening and locate the tampering boundary accurately.
Video Saliency Detection Using Bi-directional LSTM
( Yang Chi ),( Jinjiang Li ) 한국인터넷정보학회 2020 KSII Transactions on Internet and Information Syst Vol.14 No.6
Significant detection of video can more rationally allocate computing resources and reduce the amount of computation to improve accuracy. Deep learning can extract the edge features of the image, providing technical support for video saliency. This paper proposes a new detection method. We combine the Convolutional Neural Network (CNN) and the Deep Bidirectional LSTM Network (DB-LSTM) to learn the spatio-temporal features by exploring the object motion information and object motion information to generate video. A continuous frame of significant images. We also analyzed the sample database and found that human attention and significant conversion are time-dependent, so we also considered the significance detection of video cross-frame. Finally, experiments show that our method is superior to other advanced methods.
Attention-based for Multiscale Fusion Underwater Image Enhancement
Zhixiong Huang,Jinjiang Li,Zhen Hua 한국인터넷정보학회 2022 KSII Transactions on Internet and Information Syst Vol.16 No.2
Underwater images often suffer from color distortion, blurring and low contrast, which is caused by the propagation of light in the underwater environment being affected by the two processes: absorption and scattering. To cope with the poor quality of underwater images, this paper proposes a multiscale fusion underwater image enhancement method based on channel attention mechanism and local binary pattern (LBP). The network consists of three modules: feature aggregation, image reconstruction and LBP enhancement. The feature aggregation module aggregates feature information at different scales of the image, and the image reconstruction module restores the output features to high-quality underwater images. The network also introduces channel attention mechanism to make the network pay more attention to the channels containing important information. The detail information is protected by real-time superposition with feature information. Experimental results demonstrate that the method in this paper produces results with correct colors and complete details, and outperforms existing methods in quantitative metrics.
PATN: Polarized Attention based Transformer Network for Multi-focus image fusion
Pan Wu,Zhen Hua,Jinjiang Li 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.4
In this paper, we propose a framework for multi-focus image fusion called PATN. In our approach, by aggregating deep features extracted based on the U-type Transformer mechanism and shallow features extracted using the PSA module, we make PATN feed both long-range image texture information and focus on local detail information of the image. Meanwhile, the edge-preserving information value of the fused image is enhanced using a dense residual block containing the Sobel gradient operator, and three loss functions are introduced to retain more source image texture information. PATN is compared with 17 more advanced MFIF methods on three datasets to verify the effectiveness and robustness of PATN.
Deep Reference-based Dynamic Scene Deblurring
Cunzhe Liu,Zhen Hua,Jinjiang Li 한국인터넷정보학회 2024 KSII Transactions on Internet and Information Syst Vol.18 No.3
Dynamic scene deblurring is a complex computer vision problem owing to its difficulty to model mathematically. In this paper, we present a novel approach for image deblurring with the help of the sharp reference image, which utilizes the reference image for high-quality and high-frequency detail results. To better utilize the clear reference image, we develop an encoder-decoder network and two novel modules are designed to guide the network for better image restoration. The proposed Reference Extraction and Aggregation Module can effectively establish the correspondence between blurry image and reference image and explore the most relevant features for better blur removal and the proposed Spatial Feature Fusion Module enables the encoder to perceive blur information at different spatial scales. In the final, the multi-scale feature maps from the encoder and cascaded Reference Extraction and Aggregation Modules are integrated into the decoder for a global fusion and representation. Extensive quantitative and qualitative experimental results from the different benchmarks show the effectiveness of our proposed method.
Microstructural Evolution of a High W Content Ni-Based Superalloy at γ′ Sub-Solvus Temperatures
Sigeng Zhou,Naicheng Sheng,Shijie Sun,Shigang Fan,Jinjiang Yu,Guichen Hou,Jinguo Li,Yizhou Zhou,Xiaofeng Sun 대한금속·재료학회 2023 METALS AND MATERIALS International Vol.29 No.1
The evolution of γ′ phase and γ/γ′ eutectic during short-time heat treatment of the Ni-based superalloy with high W content,K416B are investigated. In this study, high temperature Differential Scanning Calorimetry (DSC) is employed to designthe heat treatment experiments and the precipitate temperature of secondary γ′ is found in the cooling curve. The standardcoarsening model is applied to figure out the coarsening rate constant of γ′ precipitate. On this basis, a novel method isproposed to predict the globularization time of γ phase in γ/γ′ eutectic during the heat treatment process. As holding temperatureincreases, more γ lamellae convert to platelets before reaching thermodynamic equilibrium. Electron microscopyobservations exhibit the boundary splitting and necking formation on the γ plate surface. Moreover, the dissolution kineticsof γ phase is quantitatively assessed by JMAK model. The volume fraction descends rapidly in the initial stage, and thenreach to a threshold. Above proposed approaches are validated via various heat treatment experiments.