IET Image Processing

期刊简介：The IET Image Processing journal encompasses research areas related to the generation, processing and communication of visual information. The focus of the journal is the coverage of the latest research results in image and video processing, including image generation and display, enhancement and restoration, segmentation, colour and texture analysis, coding and communication, implementations and architectures as well as innovative applications.Principal topics include:Generation and Display - Imaging sensors and acquisition systems, illumination, sampling and scanning, quantization, colour reproduction, image rendering, display and printing systems, evaluation of image quality.Processing and Analysis - Image enhancement, restoration, segmentation, registration, multispectral, colour and texture processing, multiresolution processing and wavelets, morphological operations, stereoscopic and 3-D processing, motion detection and estimation, video and image sequence processing.Implementations and Architectures - Image and video processing hardware and software, design and construction, architectures and software, neural, adaptive, and fuzzy processing.Coding and Transmission - Image and video compression and coding, compression standards, noise modelling, visual information networks, streamed video.Retrieval and Multimedia - Storage of images and video, database design, image retrieval, video annotation and editing, mixed media incorporating visual information, multimedia systems and applications, image and video watermarking, steganography.Applications - Innovative application of image and video processing technologies to any field, including life sciences, earth sciences, astronomy, document processing and security.Current Special Issue Call for Papers:Evolutionary Computation for Image Processing - https://digital-library.theiet.org/files/IET_IPR_CFP_EC.pdfAI-Powered 3D Vision - https://digital-library.theiet.org/files/IET_IPR_CFP_AIPV.pdfMultidisciplinary advancement of Imaging Technologies: From Medical Diagnostics and Genomics to Cognitive Machine Vision, and Artificial Intelligence - https://digital-library.theiet.org/files/IET_IPR_CFP_IST.pdfDeep Learning for 3D Reconstruction - https://digital-library.theiet.org/files/IET_IPR_CFP_DLR.pdf

【译文】该IET图像处理期刊涵盖了与视觉信息生成、处理和通信相关的领域。该期刊的重点是涵盖图像和视频处理的最新研究成果，包括图像生成和显示、增强和修复、分割、颜色和纹理分析、编码和通信、实现和架构以及创新应用。主要主题包括：生成和显示 - 成像传感器和采集系统、照明、采样和扫描、量化、颜色再现、图像渲染、显示和打印系统、图像质量评估。处理和分析 - 图像增强、修复、分割、配准、多光谱、颜色和纹理处理、多分辨率处理和小波、形态学操作、立体和3-D处理、运动检测和估计、视频和图像序列处理。实现和架构 - 图像和视频处理硬件和软件、设计和构建、架构和软件、神经网络、自适应和模糊处理。编码和传输 - 图像和视频压缩和编码、压缩标准、噪声建模、视觉信息网络、流媒体。检索和多媒体 - 图像和视频存储、数据库设计、图像检索、视频注释和编辑、包含视觉信息的混合媒体、多媒体系统和应用、图像和视频水印、隐写术。应用 - 将图像和视频处理技术创新应用于任何领域，包括生命科学、地球科学、天文学、文档处理和安全。当前特别问题征稿启事：用于图像处理的进化计算 - https://digital-library.theiet.org/files/IET_IPR_CFP_EC.pdfAI驱动的3D视觉 - https://digital-library.theiet.org/files/IET_IPR_CFP_AIPV.pdf从医学诊断和基因组学到认知机器视觉和人工智能的成像技术多学科进步 - https://digital-library.theiet.org/files/IET_IPR_CFP_IST.pdf用于3D重建的深度学习 - https://digital-library.theiet.org/files/IET_IPR_CFP_DLR.pdf