Turing with both Poisson and Gaussian noise

I have a set of data with both Poisson and Gaussian noise, which distribution I should choose in likelihood?
My dataset looks like

obs = data + Poisson + Gaussian

PS
My data is a series of images, it contains Gaussian and poisson noises. Iam not sure which likelihood function I should choose

Could you describe a bit more what you are modelling?