Knowledge Commons of Institute of Automation,CAS
Patch Loss: A generic multi-scale perceptual loss for single image super-resolution | |
An T(安泰)1,2![]() ![]() ![]() ![]() ![]() ![]() | |
发表期刊 | Pattern Recognition
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2023-03 | |
卷号 | 139页码:109510 |
摘要 | In single image super-resolution (SISR), although PSNR is a key metric for signal fidelity, images with high PSNR do not necessarily render high visual quality. As a result, current perception-driven SISR methods employ perceptual metrics close to the human eye to measure the quality of the generated images. Unfortunately, the perceptual loss and adversarial loss, widely used by the perception-driven SISR methods, still underperform on these non-differentiable perceptual metrics. To this end, we propose a generic multi-scale perceptual loss, i.e., the patch loss, which can be easily plugged into off-the-shelf SISR methods to improve a broad range of perceptual metrics. Specifically, the proposed patch loss minimizes the multi-scale similarity of image patches and enhances the restoration of regions with complex textures and sharp edges via parameter-free adaptive patch-wise attention. Our proposed patch loss introduces more realistic details compared to the perceptual loss and fewer artifacts compared to the adversarial loss. |
关键词 | Single-image super-resolution Multi-scale loss functions Image visual perception Perceptual metrics |
收录类别 | SCI |
语种 | 英语 |
是否为代表性论文 | 是 |
七大方向——子方向分类 | 图像视频处理与分析 |
国重实验室规划方向分类 | 多尺度信息处理 |
是否有论文关联数据集需要存交 | 否 |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/54534 |
专题 | 多模态人工智能系统全国重点实验室_先进时空数据分析与学习 |
通讯作者 | Huo CL(霍春雷) |
作者单位 | 1.National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences 2.School of Artificial Intelligence, University of Chinese Academy of Sciences |
第一作者单位 | 模式识别国家重点实验室 |
通讯作者单位 | 模式识别国家重点实验室 |
推荐引用方式 GB/T 7714 | An T,Mao BJ,Xue B,et al. Patch Loss: A generic multi-scale perceptual loss for single image super-resolution[J]. Pattern Recognition,2023,139:109510. |
APA | An T,Mao BJ,Xue B,Huo CL,Xiang SM,&Pan CH.(2023).Patch Loss: A generic multi-scale perceptual loss for single image super-resolution.Pattern Recognition,139,109510. |
MLA | An T,et al."Patch Loss: A generic multi-scale perceptual loss for single image super-resolution".Pattern Recognition 139(2023):109510. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Patch Loss.pdf(5876KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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