Abstract: Resource optimized forwarding of classified requests to different instances of a microservice is provided. The process includes obtaining classified requests to a microservice. The classified requests are classified based on different microservice resource consumption types. Further, the method includes forwarding the classified requests to instances of the microservice with different assigned resource configurations. The forwarding is based on the different microservice resource consumption types of the classified requests.

Abstract: One aspect of the present invention relates to a new approach to the demosaicing of spatially sampled image data observed through a color filter array. In one embodiment properties of Smith-Barnwell filterbanks may be employed to exploit the correlation of color components in order to reconstruct a sub-sampled image. In other embodiments, the approach is amenable to wavelet-domain denoising prior to demosaicing. One aspect of the present invention relates to a framework for applying existing image denoising algorithms to color filter array data. In addition to yielding new algorithms for denoising and demosaicing, in some embodiments, this framework enables the application of other wavelet-based denoising algorithms directly to the CFA image data.