期刊簡介預計審稿時間： 約6.0個月

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 圖像處理期刊涵蓋與視覺信息的生成、處理和通信相關的研究領域。該期刊的重點是報道圖像和視頻處理領域的最新研究成果，包括圖像生成和顯示、增強和恢復、分割、顏色和紋理分析、編碼和通信、實現和架構以及創新應用。

主要主題包括：

生成和顯示 - 成像傳感器和采集系統、照明、采樣和掃描、量化、色彩再現、圖像渲染、顯示和打印系統、圖像質量評估。

處理和分析 - 圖像增強、恢復、分割、配準、多光譜、顏色和紋理處理、多分辨率處理和小波、形態學操作、立體和 3-D 處理、運動檢測和估計、視頻和圖像序列處理。

實現和架構 - 圖像和視頻處理硬件和軟件、設計和構造、架構和軟件、神經、自適應和模糊處理。

編碼和傳輸 - 圖像和視頻壓縮和編碼、壓縮標準、噪聲建模、視覺信息網絡、流式視頻。

檢索和多媒體 - 圖像和視頻的存儲、數據庫設計、圖像檢索、視頻注釋和編輯、包含視覺信息的混合媒體、多媒體系統和應用程序、圖像和視頻水印、隱寫術。

應用 - 圖像和視頻處理技術在任何領域的創新應用，包括生命科學、地球科學、天文學、文檔處理和安全。

當前特刊征文：

圖像處理的進化計算 - https://digital-library.theiet.org/files/IET_IPR_CFP_EC.pdf

人工智能驅動的 3D 視覺 - https://digital-library.theiet.org/files/IET_IPR_CFP_AIPV.pdf

成像技術的多學科進步：從醫學診斷和基因組學到認知機器視覺和人工智能智能 - https://digital-library.theiet.org/files/IET_IPR_CFP_IST.pdf

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

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