scholarly journals Massive Image Editing on the Cloud

Author(s):  
Brian Summa ◽  
Huy T. Vo ◽  
Valerio Pascucci ◽  
Claudio Silva
Keyword(s):  
2021 ◽  
pp. 200023
Author(s):  
Sen-Zhe Xu ◽  
Hao-Zhi Huang ◽  
Fang-Lue Zhang ◽  
Song-Hai Zhang

2021 ◽  
Vol 95 ◽  
pp. 116245
Author(s):  
Marcelo Bertalmío ◽  
Rémi Giraud ◽  
Seungyong Lee ◽  
Olivier Lézoray ◽  
Vinh-Thong Ta ◽  
...  
Keyword(s):  

2021 ◽  
Vol 13 (3) ◽  
pp. 1-19
Author(s):  
Sreelakshmy I. J. ◽  
Binsu C. Kovoor

Image inpainting is a technique in the world of image editing where missing portions of the image are estimated and filled with the help of available or external information. In the proposed model, a novel hybrid inpainting algorithm is implemented, which adds the benefits of a diffusion-based inpainting method to an enhanced exemplar algorithm. The structure part of the image is dealt with a diffusion-based method, followed by applying an adaptive patch size–based exemplar inpainting. Due to its hybrid nature, the proposed model exceeds the quality of output obtained by applying conventional methods individually. A new term, coefficient of smoothness, is introduced in the model, which is used in the computation of adaptive patch size for the enhanced exemplar method. An automatic mask generation module relieves the user from the burden of creating additional mask input. Quantitative and qualitative evaluation is performed on images from various datasets. The results provide a testimonial to the fact that the proposed model is faster in the case of smooth images. Moreover, the proposed model provides good quality results while inpainting natural images with both texture and structure regions.


Author(s):  
Jinwei Wang ◽  
Wei Huang ◽  
Xiangyang Luo ◽  
Yun-Qing Shi ◽  
Sunil Kr. Jha

Due to the popularity of JPEG format images in recent years, JPEG images will inevitably involve image editing operation. Thus, some tramped images will leave tracks of Non-aligned double JPEG ( NA-DJPEG ) compression. By detecting the presence of NA-DJPEG compression, one can verify whether a given JPEG image has been tampered with. However, only few methods can identify NA-DJPEG compressed images in the case that the primary quality factor is greater than the secondary quality factor. To address this challenging task, this article proposes a novel feature extraction scheme based optimized pixel difference ( OPD ), which is a new measure for blocking artifacts. Firstly, three color channels (RGB) of a reconstructed image generated by decompressing a given JPEG color image are mapped into spherical coordinates to calculate amplitude and two angles (azimuth and zenith). Then, 16 histograms of OPD along the horizontal and vertical directions are calculated in the amplitude and two angles, respectively. Finally, a set of features formed by arranging the bin values of these histograms is used for binary classification. Experiments demonstrate the effectiveness of the proposed method, and the results show that it significantly outperforms the existing typical methods in the mentioned task.


2015 ◽  
Vol 21 (1) ◽  
pp. 56-67 ◽  
Author(s):  
Sheng-Jie Luo ◽  
Ying-Tse Sun ◽  
I-Chao Shen ◽  
Bing-Yu Chen ◽  
Yung-Yu Chuang

2001 ◽  
Vol 23 (3) ◽  
pp. 291-296 ◽  
Author(s):  
J.H. Elder ◽  
R.M. Goldberg
Keyword(s):  

Author(s):  
Xiaoyi Yin ◽  
Xinqian Gu ◽  
Hong Chang ◽  
Bingpeng Ma ◽  
Xilin Chen
Keyword(s):  

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Shan Liu ◽  
Yun Bo ◽  
Lingling Huang

With the further development of the social economy, people pay more attention to spiritual and cultural needs. As the main place of people’s daily life, the family is very important to the creation of its cultural atmosphere. In fact, China has fully entered the era of interior decoration, and people are paying more and more attention to decorative effects and the comfort and individual characteristics of decoration. Therefore, it is of practical significance to develop the application of decorative art in interior space design. However, the transfer effect of current interior decoration art design tends to be artistic, which leads to image distortion, and image content transfer errors are easy to occur in the process of transfer. The application of image style transfer in interior decoration art can effectively solve such problems. This paper analyzes the basic theory of image style transfer through image style transfer technology, Gram matrix, and Poisson image editing technology and designs images from several aspects such as image segmentation, content loss, enhanced style loss, and Poisson image editing constrained image spatial gradient. The application process of style transfer in interior decoration art realizes the application of image style transfer in interior decoration art. The experimental results show that the application of image style transmission in interior decoration art design can effectively avoid the contents of the interior decoration errors and distortions and has a good style transfer effect.


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