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.pdf

AI-Powered 3D Vision - https://digital-library.theiet.org/files/IET_IPR_CFP_AIPV.pdf

Multidisciplinary 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.pdf

Deep Learning for 3D Reconstruction - https://digital-library.theiet.org/files/IET_IPR_CFP_DLR.pdf

IET 图像处理期刊涵盖与视觉信息的生成、处理和通信相关的研究领域。该期刊的重点是报道图像和视频处理领域的最新研究成果，包括图像生成和显示、增强和恢复、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、色彩再现、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、恢复、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、设计和构造、架构和软件、神经、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、流式视频。

检索和多媒体 - 图像和视频的存储、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、多媒体系统和应用程序、图像和视频水印、隐写术。

应用 - 图像和视频处理技术在任何领域的创新应用，包括生命科学、地球科学、天文学、文档处理和安全。

当前特刊征文：

图像处理的进化计算 - https://digital-library.theiet.org/files/IET_IPR_CFP_EC.pdf

人工智能驱动的 3D 视觉 - https://digital-library.theiet.org/files/IET_IPR_CFP_AIPV.pdf

成像技术的多学科进步：从医学诊断和基因组学到认知机器视觉和人工智能智能 - https://digital-library.theiet.org/files/IET_IPR_CFP_IST.pdf

深度学习 3D 重建 - https://digital-library.theiet.org/files/IET_IPR_CFP_DLR.pdf

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