Mistral is an economic simulation game that bears resemblance to The Settlers gameplay.
Mistral is an imaging engine that is highly recommended for Java Standard Edition (J2SE) platforms. Its design provides an abstraction layer by choosing from the most popular imaging engines such as JAI or ImageJ. This feature allows programmers to focus on the algorithm they are developing rather than worrying about implementation.
Furthermore, Mistral provides a straightforward yet effective ImagingProcessor that can run image processing algorithms in various computing scenarios such as a single CPU, multi-core, Sun Grid Computing Facility, and local multiple node clusters based on Jini™ and Rio technologies. With this, users can enjoy cost-efficient and versatile processing capabilities.
Other notable features include Abstract Imaging Layer, a feature that performs processing in an opaque class named EditableImage that hides the concrete image representation from the programmer's view. It allows you to plug in the imaging engine anywhere in your code without explicit reference to an existing imaging API.
Mistral is also flexible, and advanced programmers can define new operations and their implementations. The Versatile Imaging Processor allows you to break down your algorithm into ImagingTasks, which execute atomically and, in parallel, by utilizing different processing units. Moreover, Mistral's elaborate Statistics tool collects performance statistics about your image processing algorithms, enabling programmers to tweak their work for optimal output.
If you are processing digital photos, Mistral supports metadata such as EXIF and Maker Note in a straightforward manner, allowing for optimal photo processing. Additionally, Mistral is straightforward and designed around the multi-phase version of the Master-Worker pattern, leading to optimal performance in embarrassingly distributed tasks with minimal inter-node communications.
In conclusion, Mistral offers a variety of features that make it stand out among imaging engines for J2SE platforms. Its versatility, flexibility, and ease of use make it a must-have tool for image processing.
Furthermore, Mistral provides a straightforward yet effective ImagingProcessor that can run image processing algorithms in various computing scenarios such as a single CPU, multi-core, Sun Grid Computing Facility, and local multiple node clusters based on Jini™ and Rio technologies. With this, users can enjoy cost-efficient and versatile processing capabilities.
Other notable features include Abstract Imaging Layer, a feature that performs processing in an opaque class named EditableImage that hides the concrete image representation from the programmer's view. It allows you to plug in the imaging engine anywhere in your code without explicit reference to an existing imaging API.
Mistral is also flexible, and advanced programmers can define new operations and their implementations. The Versatile Imaging Processor allows you to break down your algorithm into ImagingTasks, which execute atomically and, in parallel, by utilizing different processing units. Moreover, Mistral's elaborate Statistics tool collects performance statistics about your image processing algorithms, enabling programmers to tweak their work for optimal output.
If you are processing digital photos, Mistral supports metadata such as EXIF and Maker Note in a straightforward manner, allowing for optimal photo processing. Additionally, Mistral is straightforward and designed around the multi-phase version of the Master-Worker pattern, leading to optimal performance in embarrassingly distributed tasks with minimal inter-node communications.
In conclusion, Mistral offers a variety of features that make it stand out among imaging engines for J2SE platforms. Its versatility, flexibility, and ease of use make it a must-have tool for image processing.
What's New
Version r20080409: N/A