The book "Parallel Image Processing" offers a comprehensive analysis of image processing using massively parallel algorithms. It originated from a series of publications that focus on the application of synchronous, massively parallel, or data-driven computer systems in the field of image processing. These systems, which operate on the SIMD principle (Single Instruction, Multiple Data), are particularly well-suited for processing image data. Although the era of large SIMD supercomputers has passed, SIMD systems are increasingly found in specialized vision subsystems and even in embedded systems. The book emphasizes the intrinsic parallelism that is almost always present in image processing and demonstrates how parallel algorithms can simplify the execution of image operations. The chosen presentation method utilizes short code snippets to enhance the understanding of the central algorithms, while longer listings may be perceived as distracting. Each chapter defines and explains the core algorithms of image processing through examples and provides an excerpt of a massively parallel program.