Abstract: Techniques are described herein for the development of an application that includes both standalone and web-based versions. Both versions share substantial portions of code, thereby minimizing the disparity between the versions in terms of function and user experience. The foregoing also enables the web-based application to be operable in an offline environment. This may be achieved by separating both the standalone and the offline web-based versions into a client portion and a server portion, but having both portions executing on the client. Instead of facilitating communication between these portions via a network communication channel, communication is performed via an emulated network communication channel, which translates network requests and responses provided by these portions into a format suitable for transmission over the emulated network communication channel.

Abstract: Interface identifier parameterization techniques are described. In one or more implementations, a textual description is obtained of a parametric type represented in a binary standard of a programming model and an interface identifier is generated based at least in part on the obtained textual description of the parametric type.

Abstract: Interface identifier parameterization techniques are described. In one or more implementations, a textual description is obtained of a parametric type represented in a binary standard of a programming model and an interface identifier is generated based at least in part on the obtained textual description of the parametric type.

Abstract: Block based image processing techniques are described in which one or more processing filters are applied to an image block by block. One or more filters are identified to process an image. Attributes are obtained that describe the one or more filters. Image data is loaded into multiple input blocks based upon the obtained attributes. The one or more filters are applied to the image block by block. The results of the processing may be stored as multiple processed blocks corresponding to the multiple input blocks. Then, the processed blocks are stitched together to form a processed image.

Abstract: Block based image processing techniques are described in which one or more processing filters are applied to an image block by block. One or more filters are identified to process an image. Attributes are obtained that describe the one or more filters. Image data is loaded into multiple input blocks based upon the obtained attributes. The one or more filters are applied to the image block by block. The results of the processing may be stored as multiple processed blocks corresponding to the multiple input blocks. Then, the processed blocks are stitched together to form a processed image.