Papers Image Deblocking
“Image Deblocking” 태그가 달린 논문 8편 · 필터 해제
Multi-Modality Deep Network for JPEG Artifacts Reduction
In recent years, many convolutional neural network-based models are designed for JPEG artifacts reduction, and have achieved notable progress. However, few methods are suitable for extreme low-bitrate image compression a…
Contrastive LearningImage CompressionImage DeblockingTowards Flexible Blind JPEG Artifacts Removal
Training a single deep blind model to handle different quality factors for JPEG image artifacts removal has been attracting considerable attention due to its convenience for practical usage. However, existing deep blind …
Image CompressionImage Compression Artifact ReductionImage DeblockingImage Denoising+4LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-Resolution and Beyond
Single image super-resolution (SISR) deals with a fundamental problem of upsampling a low-resolution (LR) image to its high-resolution (HR) version. Last few years have witnessed impressive progress propelled by deep lea…
DenoisingImage DeblockingImage DenoisingImage Super-Resolution+2EDPN: Enhanced Deep Pyramid Network for Blurry Image Restoration
Image deblurring has seen a great improvement with the development of deep neural networks. In practice, however, blurry images often suffer from additional degradations such as downscaling and compression. To address th…
DeblurringImage DeblockingImage DeblurringImage Restoration+3Deep Variational Network Toward Blind Image Restoration
Blind image restoration (IR) is a common yet challenging problem in computer vision. Classical model-based methods and recent deep learning (DL)-based methods represent two different methodologies for this problem, each …
DenoisingImage DeblockingImage DenoisingImage Restoration+3Dynamically Unfolding Recurrent Restorer: A Moving Endpoint Control Method for Image Restoration
In this paper, we propose a new control framework called the moving endpoint control to restore images corrupted by different degradation levels in one model. The proposed control problem contains a restoration dynamics …
DenoisingImage DeblockingImage DenoisingImage RestorationBeyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
Discriminative model learning for image denoising has been recently attracting considerable attentions due to its favorable denoising performance. In this paper, we take one step forward by investigating the construction…
Color Image DenoisingDenoisingGPUImage Deblocking+4Pointwise shape-adaptive DCT for high-quality deblocking of compressed color images
We present an high-quality image deblocking algorithm based on the shape-adaptive DCT (SA-DCT). The SA-DCT is a low-complexity transform which can be computed on a support of arbitrary shape. This transform has been adop…
BlockingDeblurringDenoisingImage Deblocking