Deep-Shot Converter

The Deep-Shot Converter is used to combine photos with a wide shooting angle and such with deep zoom, into single images with an exponential pixel grid. It combines, increasing one picture’s impact and at the same time saves lots of memory, as the files mainly consist out of carefully arranged compressed colour value.

As most of today’s photographs will never be printed, their digital features get more important. There is basically two types of images, raster-based images following rows and columns and vector images, based on coloured lines and forms. Deep-Shots combine the advantages of both by using an exponentially growing net structure. This makes end-users able to create incredibly deep pictures without consuming high amounts of computing power.

The project started in October 2021 with some simple sketches on sticky notes. In the same year a patent application was written and a first prototype was designed. The program could at this time only work with single input images. This was a crucial limitation, stopping the project from being noticed by a wide audience. Today’s version is different. The inventor states big potential, as such a point based digital image structure has never been there before.

The project is still evolving, as there are many opportunities. It is for example possible to create Deep-Shots from map- and satellite data. A sudden location is displayed in high resolution, while pixels grow when moving away from the centre. In addition, a launch into camera software seems possible, especially super-zoom-cameras could gain great effort. The adjustment of the zoom as well as the shooting of the photographs can be automated, the results can immediately be merged into a simultaneously arising net structure.

The old and the new software, the online viewer as well as a large amount of deep background information can be found on the projects website.