Image processing is a relatively mature technology. Image transformation, image coding, compression, image segmentation, image description, and other technologies have been successfully applied in agriculture, textile industries, transportation industries, and other fields. However, traditional image processing methods can’t cope with today’s large number of image samples, leading to a new technical field with a focus on how to explore the image processing technology based on big data technology, as well as establishing an image processing model to improve the level and efficiency of image processing. According to the existing research results of big data, the image processing model based on big data has advantages such as good reproducibility, high precision, wide applicability, good flexibility, and great potential of information compression.

Big data analysis models have not been under development for a long time. Although image processing is a mature technology, the establishment of image processing models based on big data analysis can encounter several technical difficulties, including the visualization analysis required by image processing technologies, semantic expression and storage of massive image samples, the complexity of the algorithms required feature extraction, recognition, and prediction analysis based on big data, and the time and memory consumption. In addition to these, the low speed of recognition of a model will also be a big problem. The application of big data in image processing is becoming increasingly wide with the development of information technology. By analysing the working principles, technologies, and advantages of big data technology in image processing, the establishment of image processing models based on big data analysis will have broad application prospects in all fields of image processing.

This Special Issue aims to provide a platform to collate original research and review articles with a focus on how to build image processing analysis models based on big data analysis and support the development and progress of related technologies.

Potential topics include but are not limited to the following:

• Big data and deep learning for image processing
• Big data for digital signal processing
• Big data for medical image processing
• Big data for radar image processing
• Big data for sonar image processing
• Big data for digital multimedia broadcasting
• Image and signal processing applications
• Image generation, acquisition, and processing
• Image-based modelling and algorithms
• Immersive virtual reality
• Integration of virtual reality and multimedia
• Interactive digital media
• Knowledge-based recognition
• Audio, image, and video processing
• Virtual and augmented reality