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        SAR Image De-noising Based on Residual Image Fusion and Sparse Representation

        ( Xiaole Ma ),( Shaohai Hu ),( Dongsheng Yang ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.7

        Since the birth of Synthetic Aperture Radar (SAR), it has been widely used in the military field and so on. However, the existence of speckle noise makes a good deal inconvenience for the subsequent image processing. The continuous development of sparse representation (SR) opens a new field for the speckle suppressing of SAR image. Although the SR de-noising may be effective, the over-smooth phenomenon still has bad influence on the integrity of the image information. In this paper, one novel SAR image de-noising method based on residual image fusion and sparse representation is proposed. Firstly we can get the similar block groups by the non-local similar block matching method (NLS-BM). Then SR de-noising based on the adaptive K-means singular value decomposition (K-SVD) is adopted to obtain the initial de-noised image and residual image. The residual image is processed by Shearlet transform (ST), and the corresponding de-noising methods are applied on it. Finally, in ST domain the low-frequency and high-frequency components of the initial de-noised and residual image are fused respectively by relevant fusion rules. The final de-noised image can be recovered by inverse ST. Experimental results show the proposed method can not only suppress the speckle effectively, but also save more details and other useful information of the original SAR image, which could provide more authentic and credible records for the follow-up image processing.

      • KCI등재

        Object Tracking Based on Weighted Local Sub-space Reconstruction Error

        ( Xianyou Zeng ),( Long Xu ),( Shaohai Hu ),( Ruizhen Zhao ),( Wanli Feng ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.2

        Visual tracking is a challenging task that needs learning an effective model to handle the changes of target appearance caused by factors such as pose variation, illumination change, occlusion and motion blur. In this paper, a novel tracking algorithm based on weighted local sub-space reconstruction error is presented. First, accounting for the appearance changes in the tracking process, a generative weight calculation method based on structural reconstruction error is proposed. Furthermore, a template update scheme of occlusion-aware is introduced, in which we reconstruct a new template instead of simply exploiting the best observation for template update. The effectiveness and feasibility of the proposed algorithm are verified by comparing it with some state-of-the-art algorithms quantitatively and qualitatively.

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        Meta-mordant Dyeing with Camellia sinensis (L.) O. Ktze var. waldensae (S.Y.Hu) Chang (Yellow-bud Tea) Extract for Wool Fabrics Treated by UV Radiation

        Cheng Chen,Min Li,Chunxia Wang,Shaohai Fu,Wenjun Yan,Chuansheng Chen 한국섬유공학회 2018 Fibers and polymers Vol.19 No.6

        The wool fabrics were treated by ultraviolet (UV) radiation and then dyed with Camellia sinensis (L.) O. Ktze var. waldensae (S.Y.Hu) Chang (yellow-bud tea) extract using meta-mordant dyeing method. The results indicated that the hydrophilicity of wool fabrics was improved after UV radiation treatment, which was conducive in improving color performance for the meta-mordant dyeing with yellow-bud tea extract of wool fabrics. The optimal dyeing process was that the powdered extract (5.0 % o.w.f) and the CuSO4 (2.0 % o.w.f) were added to the dyeing liquor, the pH value was adjusted to 3.5-4.0 by HCOOH, the wool fabrics treated by UV radiation for 10 min and then were dyed at a bath ratio of 1:50 under 95 oC for 70 min. By means of three-factor quadratic current rotation revolving design (TQCRRD) method, the computation results of the mathematical equations and models indicated that UV radiation was the most important factor for meta-CuSO4 dyeing with yellow-bud tea extract for wool fabrics.

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        Preparation of Covalent and Solvent-resistance Colored Latex Particles and Its Application on Cotton Fabric

        Yi Yang,Min Li,Aijun Tang,Yayun Liu,Zhen Li,Shaohai Fu 한국섬유공학회 2020 Fibers and polymers Vol.21 No.8

        Conventional colored latex particles have poor solvent resistance due to the absence of chemical bonds betweenthe dye and polymer component, resulting in staining and greatly restricting its application. In this research, the disperse dyewas chemically bonded to the polymer to prepare covalent and solvent-resistance colored latex particles. Firstly, C.I. DisperseRed 60, as a common disperse dye in industry, was modified by acryloyl chloride (amidation reaction) for the purpose ofintroducing the C=C bonds. The structure of modified C.I. Disperse Red 60 was confirmed by 1HNMR, FTIR and elementalanalysis and its spectral property was also evaluated. Then the covalent colored latex particles were synthesized via miniemulsioncopolymerization of styrene (St) and ethyl acrylate (EA) in presence of modified C.I. Disperse Red 60 monomer. Results of FTIR, TG, DSC and TEM indicated that the covalent colored latex particles were successfully prepared. By usingUV-spectroscopy, the solvent resistance of the colored latex membranes in petroleum ether, hexane, cyclohexane, and ethanolwas monitored, respectively. Slight change of the absorption was detected for 10 days, which verified the excellent solventresistance of covalent colored latex membranes. Finally, the prepared colored latex particles were applied on cotton printingin the absence of binder. The results showed that the colored latex particles printed fabric had superior rubbing fastness andsoft hand feel.

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