首页>
外国专利>
ADAPTIVE DEEP LEARNING MODEL FOR NOISY IMAGE SUPER-RESOLUTION
ADAPTIVE DEEP LEARNING MODEL FOR NOISY IMAGE SUPER-RESOLUTION
展开▼
机译:噪声图像超分辨率自适应深度学习模型
展开▼
页面导航
摘要
著录项
相似文献
摘要
A method includes estimating, by a noise estimator (NE) subnetwork of the DRN, an estimated noise map for a noisy input image; and predicting, by the SR subnetwork of the DRN, a clean upscaled image based on the input image and the noise map by, for each of multiple conditional residual dense blocks (CRDBs) stacked within one or more cascade blocks representing the SR subnetwork, adjusting, by a noise control layer of the CRDB that follows a stacked set of a multiple residual dense blocks of the CRDB, feature values of an intermediate feature map associated with the input image by applying (i) a scaling factor and (ii) an offset factor derived from the noise map.
展开▼