An Automatic Image Inpainting Algorithm Based on FCM by Jiansheng Liu, Hui Liu, Shangping Qiao, Guangxue Yue

“…There are many existing image inpainting algorithms in which the repaired area should be manually determined by users. …”
Get full text

Image Inpainting of Portraits Artwork Design and Implementation by Zhang Hongting

“…This paper simulates artificial damage to classic portrait paintings in the Art Portraits dataset by adding center masks during data preprocessing and then implements the image inpainting task. During the training phase, the Denoising Diffusion Probabilistic Model (DDPM) is fine-tuned by progressively adding noise to the center-masked images in the noising stage, followed by denoising in the denoising stage to generate images. …”
Get full text

Error-Mask-Adaptive Dynamic Filtering for Image Inpainting by Keunsoo Ko, Seunggyun Woo, Chang-Su Kim

Subjects: “…Image inpainting…”
Get full text

An Adaptive Image Inpainting Method Based on Continued Fractions Interpolation by Lei He, Yan Xing, Kangxiong Xia, Jieqing Tan

“…In view of the drawback of most image inpainting algorithms by which texture was not prominent, an adaptive inpainting algorithm based on continued fractions was proposed in this paper. …”
Get full text

Self-Supervised Deep Hyperspectral Inpainting with Plug-and-Play and Deep Image Prior Models by Shuo Li, Mehrdad Yaghoobi

Subjects: “…hyperspectral image inpainting…”
Get full text

Contour Detection and Completion for Inpainting and Segmentation Based on Topological Gradient and Fast Marching Algorithms by Didier Auroux, Laurent D. Cohen, Mohamed Masmoudi

“…Several image processing problems (e.g., inpainting and segmentation) require continuous contours. …”
Get full text

Efficient guided inpainting of larger hole missing images based on hierarchical decoding network by Xiucheng Dong, Yaling Ju, Dangcheng Zhang, Bing Hou, Jinqing He

“…Abstract When dealing with images containing large hole-missing regions, deep learning-based image inpainting algorithms often face challenges such as local structural distortions and blurriness. …”
Get full text

Ancient Stone Inscription Image Denoising and Inpainting Methods Based on Deep Neural Networks by Haoming Zhang, Yue Qi, Xiaoting Xue, Yahui Nan

“…Therefore, we propose a basic framework for image denoising and inpainting of stone inscriptions based on deep learning methods. …”
Get full text

Retracted: Ancient Stone Inscription Image Denoising and Inpainting Methods Based on Deep Neural Networks by Discrete Dynamics in Nature and Society

Get full text

Improved Error Reduction and Hybrid Input Output Algorithms for Phase Retrieval by including a Sparse Dictionary Learning-Based Inpainting Method by Jian-Jia Su, Chung-Hao Tien

“…In this paper, we proposed a two-step algorithm that traditional ER/HIO iteration plays as the coarse feature reconstruction, whereas the KSVD-based inpainting technique deals with the fine feature set accordingly. …”
Get full text

A Novel Approach to Optimize Key Limitations of Azure Kinect DK for Efficient and Precise Leaf Area Measurement by Ziang Niu, Ting Huang, Chengjia Xu, Xinyue Sun, Mohamed Farag Taha, Yong He, Zhengjun Qiu

Subjects: Get full text

Residual trio feature network for efficient super-resolution by Junfeng Chen, Mao Mao, Azhu Guan, Altangerel Ayush

Subjects: “…Image inpainting…”
Get full text

Photorealistic Texture Contextual Fill-In by Radek Richtr

Subjects: Get full text

Video completion in the presence of moving subjects based on segmentation using Neutrosophic sets by Amanna Ghanbari Talouki, Abbas Koochari, Seyyed Ahmad Edalatpanah

Subjects: Get full text

ArtDiff: Integrating IoT and AI to enhance precision in ancient mural restoration by Yuhan Yan, Bowen Chai, Jiapeng Li

Subjects: Get full text

Dealing with data gaps for TianQin with massive black hole binary signal by Lu Wang, Hong-Yu Chen, Xiangyu Lyu, En-Kun Li, Yi-Ming Hu

“…The easy-to-implement window function method can already perform well, except that it will sacrifice some SNR due to the adoption of the window. The inpainting method is slower, but it can minimize the impact of the data gap.…”
Get full text

Total Variation Regularization Algorithms for Images Corrupted with Different Noise Models: A Review by Paul Rodríguez

“…Total Variation (TV) regularization has evolved from an image denoising method for images corrupted with Gaussian noise into a more general technique for inverse problems such as deblurring, blind deconvolution, and inpainting, which also encompasses the Impulse, Poisson, Speckle, and mixed noise models. …”
Get full text

RGBD Scene Flow Estimation with Global Nonrigid and Local Rigid Assumption by Xiuxiu Li, Yanjuan Liu, Haiyan Jin, Lei Cai, Jiangbin Zheng

“…Firstly, the preprocessing is implemented, which includes the colour-depth registration and depth image inpainting, to processing holes and noises in the depth image; secondly, the depth image is segmented to obtain different motion regions with different depth values; thirdly, scene flow is estimated based on the global nonrigid and local rigid assumption and spatial-temporal correlation of RGBD information. …”
Get full text

Generating synthetic images for construction machinery data augmentation utilizing context-aware object placement by Yujie Lu, Bo Liu, Wei Wei, Bo Xiao, Zhangding Liu, Wensheng Li

“…To efficiently generate high-quality data, a synthesis method of construction data was proposed utilizing Unreal Engine (UE) and PlaceNet. First, the inpainting algorithm was applied to generate pure backgrounds, followed by multi-angle foreground capture within the UE. …”
Get full text