Abstract: A computer-implemented method comprises obtaining an intermediate computer code object including a set of instructions corresponding to a task to be performed. The intermediate computer code object—being machine independent—further includes for each of the at least one set of instructions one or more metadata descriptors representative of at least a complexity measure of the task to be performed. The method also comprises executing the intermediate computer code object on a computing platform comprising at least two different execution units having a different memory with a different memory location. This executing comprises selecting for each of the at least one set of instructions a target execution unit from the plurality of execution units. This selecting takes the one or more metadata descriptors and a decision rule into account, wherein the decision rule relates the plurality of complexity measures to a performance characteristic of the plurality of execution units.

Abstract: A computer-implemented method comprises obtaining an intermediate computer code object including a set of instructions corresponding to a task to be performed. The intermediate computer code object—being machine independent—further includes for each of the at least one set of instructions one or more metadata descriptors representative of at least a complexity measure of the task to be performed. The method also comprises executing the intermediate computer code object on a computing platform comprising at least two different execution units having a different memory with a different memory location. This executing comprises selecting for each of the at least one set of instructions a target execution unit from the plurality of execution units. This selecting takes the one or more metadata descriptors and a decision rule into account, wherein the decision rule relates the plurality of complexity measures to a performance characteristic of the plurality of execution units.

Abstract: A method for estimating noise in a reconstructed image through post-processing includes the steps: dividing the reconstructed image to generate image segments; applying a multi-resolution transformation or directional filter bank on at least part of the image segments to generate transformed image segments; and for each transformed image segment estimating a direction dependent noise power S0(?); calculating a first noise covariance matrix from an isotropic power spectral density |??G(?)|2; and calculating a second noise covariance matrix in the transformed image segment through the product of the direction dependent noise power S0(?) and the first noise covariance matrix.