Method for steganographic and lossless or at least partially lossless processing and compression of image data, wherein said image data comprises noise and information, the method comprising the steps of - acquiring image data to be processed and/or compressed for storage and/or transmission, - preparing the acquired image data for compression, said preparation step comprising the steps of ° determining an input noise model and corresponding parameters adapted to reflect noise created by a source image sensor used to capture said image data, ° removing noise from the acquired image data by use of said input noise model, such as to produce noise-reduced image data, - storing and/or transmitting the image data, characterised by the fact that the step of preparing the acquired image data comprises the steps of ° determining a target noise model and corresponding parameters adapted to reflect noise created by a target image sensor, ° generating pseudo-noise according to said target noise model, and ° adding the generated pseudo-noise in steganographic manner to said noise-reduced image data such as to produce pseudo-noisy image data which is statistically equivalent as compared to image data acquired with said target image sensor, and by the fact that the step of storing and/or transmitting comprises ° storing and/or transmitting said pseudo-noisy image data, and ° storing and/or transmitting the target noise model and its parameters with the pseudo-noisy image data and/or making available the target noise model and its parameters separately from the pseudo-noisy image data, such as to allow for reproduction and/or subtraction of the pseudo-noise based on said pseudo-noisy image data and the parameters of the target noise model. - acquiring image data to be processed and/or compressed for storage and/or transmission, - preparing the acquired image data for compression, said preparation step comprising the steps of ° determining an input noise model and corresponding parameters adapted to reflect noise created by a source image sensor used to capture said image data, ° removing noise from the acquired image data by use of said input noise model, such as to produce noise-reduced image data, ° determining an input noise model and corresponding parameters adapted to reflect noise created by a source image sensor used to capture said image data, ° removing noise from the acquired image data by use of said input noise model, such as to produce noise-reduced image data, - storing and/or transmitting the image data, characterised by the fact that the step of preparing the acquired image data comprises the steps of ° determining a target noise model and corresponding parameters adapted to reflect noise created by a target image sensor, ° generating pseudo-noise according to said target noise model, and ° adding the generated pseudo-noise in steganographic manner to said noise-reduced image data such as to produce pseudo-noisy image data which is statistically equivalent as compared to image data acquired with said target image sensor, ° determining a target noise model and corresponding parameters adapted to reflect noise created by a target image sensor, ° generating pseudo-noise according to said target noise model, and ° adding the generated pseudo-noise in steganographic manner to said noise-reduced image data such as to produce pseudo-noisy image data which is statistically equivalent as compared to image data acquired with said target image sensor, and by the fact that the step of storing and/or transmitting comprises ° storing and/or transmitting said pseudo-noisy image data, and ° storing and/or transmitting the target noise model and its parameters with the pseudo-noisy image data and/or making available the target noise model and its parameters separately from the pseudo-noisy image data, ° storing and/or transmitting said pseudo-noisy image data, and ° storing and/or transmitting the target noise model and its parameters with the pseudo-noisy image data and/or making available the target noise model and its parameters separately from the pseudo-noisy image data, such as to allow for reproduction and/or subtraction of the pseudo-noise based on said pseudo-noisy image data and the parameters of the target noise model.