An iterative approach for image coding using Mojette transform

The Mojette transform has found several applications to this date. Some of them, such as systems for distributed file storage, or digital tomography systems exploit one of the main properties of Mojette transform - redundancy. However, sometimes this feature is not desirable. This is a case of applying Mojette transform for image encoding, or decoding. In these applications, higher rate of redundancy can cause longer processing times and bigger size of image data. These problems can be solved by group of procedures, which would work in a determined manner. In this article, we tried to propose a set of algorithms, which would reduce the drawbacks of Mojette transform, but exploit its advantages in the field of image coding.