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- ArticleAugust 2024
Aesthetics-Driven Active Reinforcement Learning for Color Enhancement
Advanced Intelligent Computing Technology and ApplicationsPages 289–300https://doi.org/10.1007/978-981-97-5612-4_25AbstractExisting learning-based color enhancement approaches focus on improving quality by learning a mapping from input images to enhanced images. However, they ignore the progressive nature of the enhancement process and fail to consider the aesthetics ...
- ArticleAugust 2024
DiffGIC: Diffusion Prior Based Null-Space Correction for High Resolution Grayscale Image Colorization
Advanced Intelligent Computing Technology and ApplicationsPages 234–245https://doi.org/10.1007/978-981-97-5600-1_20AbstractDiffusion models have demonstrated exceptional abilities in colorizing grayscale images. To colorize high-resolution images, current methods use a strategy that combines super-resolution with hierarchical image processing (SR-HIPS). This approach ...
- ArticleAugust 2007
Frequency-domain Regularized Deconvolution for Images with Stripe Noise
ICIG '07: Proceedings of the Fourth International Conference on Image and GraphicsPages 110–115https://doi.org/10.1109/ICIG.2007.100This paper presents a new approach to the deconvolution for images contaminated by stripe noise. Inspired by the 2-D power spectrum distribution property of stripe noise in the frequency domain, we construct a novel regularized inverse filter which ...