Region filling and object removal by exemplar-based image inpainting
A new algorithm is proposed for removing large objects from digital images. The challenge
is to fill in the hole that is left behind in a visually plausible way. In the past, this problem has …
is to fill in the hole that is left behind in a visually plausible way. In the past, this problem has …
GCAM: lightweight image inpainting via group convolution and attention mechanism
Y Chen, R Xia, K Yang, K Zou - International Journal of Machine Learning …, 2024 - Springer
Recently, image inpainting techniques tend to be more concerned with how to enhance the
quality of restoration than with how to function on various platforms with limited processing …
quality of restoration than with how to function on various platforms with limited processing …
Simultaneous structure and texture image inpainting
An algorithm for the simultaneous filling-in of texture and structure in regions of missing
image information is presented in this paper. The basic idea is to first decompose the image …
image information is presented in this paper. The basic idea is to first decompose the image …
[图书][B] Sparse image and signal processing: wavelets, curvelets, morphological diversity
This book presents the state of the art in sparse and multiscale image and signal processing,
covering linear multiscale transforms, such as wavelet, ridgelet, or curvelet transforms, and …
covering linear multiscale transforms, such as wavelet, ridgelet, or curvelet transforms, and …
Object removal by exemplar-based inpainting
A new algorithm is proposed for removing large objects from digital images. The challenge
is to fill in the hole that is left behind in a visually plausible way. In the past, this problem has …
is to fill in the hole that is left behind in a visually plausible way. In the past, this problem has …
Image inpainting using nonlocal texture matching and nonlinear filtering
Nonlocal texture similarity and local intensity smoothness are both essential for solving most
image inpainting problems. In this paper, we propose a novel image inpainting algorithm …
image inpainting problems. In this paper, we propose a novel image inpainting algorithm …
Fast image and video colorization using chrominance blending
Colorization, the task of coloring a grayscale image or video, involves assigning from the
single dimension of intensity or luminance a quantity that varies in three dimensions, such …
single dimension of intensity or luminance a quantity that varies in three dimensions, such …
Inpainting and zooming using sparse representations
Representing the image to be inpainted in an appropriate sparse representation dictionary,
and combining elements from Bayesian statistics and modern harmonic analysis, we …
and combining elements from Bayesian statistics and modern harmonic analysis, we …
[图书][B] Sparse image and signal processing: Wavelets and related geometric multiscale analysis
This thoroughly updated new edition presents state of the art sparse and multiscale image
and signal processing. It covers linear multiscale geometric transforms, such as wavelet …
and signal processing. It covers linear multiscale geometric transforms, such as wavelet …
Total variation wavelet inpainting
We consider the problem of filling in missing or damaged wavelet coefficients due to lossy
image transmission or communication. The task is closely related to classical inpainting …
image transmission or communication. The task is closely related to classical inpainting …