Abstract: An image processing method, an apparatus, an electronic device and a non-transient computer-readable storage medium. The image processing method includes: (S11) acquiring an original image; (S12) performing a fuzzy processing to the original image to obtain a fuzzy image; (S13) performing a high-dynamic-range image to the original image by using a first network model obtained by pre-training, to obtain a first characteristic matrix, wherein the first network model includes a dense residual module and a gate-control-channel conversion module; (S14) obtaining an auxiliary characteristic matrix of the original image according to the fuzzy image, wherein the auxiliary characteristic matrix includes detail information of the original image and/or low-frequency information of the original image; (S15) obtaining a target image according to the first characteristic matrix and the auxiliary characteristic matrix.

Abstract: An image processing method and device, and a computer-readable storage medium are disclosed. The method includes: performing a channel expansion process on the input image to obtain a first intermediate image; performing a channel decomposition process for multiple times based on the first intermediate image, wherein each time of channel decomposition process includes: decomposing an image to be processed into a first decomposition image and a second decomposition image; concatenating first decomposition images generated in each time of channel decomposition process and second decomposition image generated in the last time of channel decomposition process to obtain a concatenated image; performing a post-processing process on the concatenated image to obtain a second intermediate image; and fusing the second intermediate image with the input image to obtain the first output image.

Abstract: Techniques are described for a Hypertext Transfer Protocol (HTTP) request monitoring application that provides an automated solution for managing cross-region compliance of incoming HTTP requests received by a web application or service. An HTTP request monitoring application comprises a plurality of modular components that can be readily integrated into a request processing pipeline of a web server or, more generally, into any application that processes HTTP requests. The components can include, for example, one or more analysis components, used to analyze various data elements contained in HTTP requests to estimate an origin requests, and one or more action components, used to perform various actions responsive to analysis components identifying potentially non-compliant requests (e.g., where such actions may include blocking the incoming requests, logging information about the requests, generating notifications, sending metrics to a monitoring service, etc.).