A Sketch-Based Generation Model for Diverse Ceramic Tile Images Using Generative Adversarial Network

Ceramic tiles are one of the most indispensable materials for interior decoration.The ceramic patterns can’t match the design requirements in terms of diversity and interactivity due to their natural textures.In this paper,we propose a sketch-based generation method for generating diverse ceramic tile images based on a hand-drawn sketches using Generative Adversarial Network(GAN).The generated tile images can be tailored to meet the specific needs of the user for the tile textures.The proposed method consists of four steps.Firstly,a dataset of ceramic tile images with diverse distributions is created and then pre-trained based on GAN.Secondly,for each ceramic tile image in the dataset,the corresponding sketch image is generated and then the mapping relationship between the images is trained based on a sketch extraction network using ResNet Block and jump connection to improve the quality of the generated sketches.Thirdly,the sketch style is redefined according to the characteristics of the ceramic tile images and then double cross-domain adversarial loss functions are employed to guide the ceramic tile generation network for fitting in the direction of the sketch style and to improve the training speed.Finally,we apply hidden space perturbation and interpolation for further enriching the output textures style and satisfying the concept of“one style with multiple faces”.We conduct the training process of the proposed generation network on 2583 ceramic tile images dataset.To measure the generative diversity and quality,we use Frechet Inception Distance(FID)and Blind/Referenceless Image Spatial Quality Evaluator(BRISQUE)metrics.The experimental results prove that the proposed model greatly enhances the generation results of the ceramic tile images,with FID of 32.47 and BRISQUE of 28.44.

Detection of Copy-Scale-Move Forgery in Digital Images Using SFOP and MROGH

Social network platforms such as Twitter, Instagram and Facebook are one of the fastest and most convenient means for sharing digital images. Digital images are generally accepted as credible news but, it may undergo some manipulations before being shared without leaving any obvious traces of tampering; due to existence of the powerful image editing softwares. Copy-move forgery technique is a very simple and common type of image forgery, where a part of the image is copied and then pasted in the same image to replicate or hide some parts from the image. In this paper, we proposed a copy-scale-move forgery detection method based on Scale Invariant Feature Operator (SFOP) detector. The keypoints are then described using MROGH descriptor. Experimental results show that the proposed method is able to locate and detect the forgery even if under some geometric transformations such as scaling.

Polyketides with potential bioactivities from the mangrove‑derived fungus Talaromyces sp.WHUF0362

Metabolites of microorganisms have long been considered as potential sources for drug discovery.In this study,fve new depsidone derivatives,talaronins A-E(1-5)and three new xanthone derivatives,talaronins F-H(6-8),together with 16 known compounds(9-24),were isolated from the ethyl acetate extract of the mangrove-derived fungus Talaromyces species WHUF0362.The structures were elucidated by analysis of spectroscopic data and chemical methods including alkaline hydrolysis and Mosher’s method.Compounds 1 and 2 each attached a dimethyl acetal group at the aromatic ring.A putative biogenetic relationship of the isolated metabolites was presented and suggested that the depsidones and the xanthones probably had the same biosynthetic precursors such as chrysophanol or rheochrysidin.The antimicrobial activity assay indicated that compounds 5,9,10,and 14 showed potent activity against Helicobacter pylori with minimum inhibitory concentration(MIC)values in the range of 2.42-36.04μmol/L.While secalonic acid D(19)demonstrated signifcant antimicrobial activity against four strains of H.pylori with MIC values in the range of 0.20 to 1.57μmol/L.Furthermore,secalonic acid D(19)exhibited cytotoxicity against cancer cell lines Bel-7402 and HCT-116 with IC_(50) values of 0.15 and 0.19μmol/L,respectively.The structure–activity relationship of depsidone derivatives revealed that the presence of the lactone ring and the hydroxyl at C-10 was crucial to the antimicrobial activity against H.pylori.The depsidone derivatives are promising leads to inhibit H.pylori and provide an avenue for further development of novel antibiotics.