1. A method of tuning a noise level of an image sensor, the method comprising: determining a first set of frequency levels of an image produced by the image sensor using a set of low pass filters, the set of low pass filters comprising at least one bilateral low pass filter; determining a first set of chrominance noise values and luminance noise values corresponding to each frequency level of the first set of frequency levels; calculating a target set of noise values associated with each frequency level of the first set of frequency levels, the target set of noise values calculated based on comparing the first set of chrominance and luminance noise values to a second set of chrominance and luminance noise values of a reference image, the reference image captured using a calibrated image sensor; determining a first set of noise values associated with the image using a coarse search, the coarse search based on a first set of vectors, wherein each noise value of the first set of noise values corresponds to a frequency level of the first set of frequency levels; determining a second set of noise values associated with the image using a fine search, the fine search comprising a second set of vectors, wherein the second set of vectors are determined based on a noise value difference between the target set of noise values and the first set of noise values, wherein each noise value of the second set of noise values corresponds to a frequency level of the first set of frequency levels; updating a coefficient of the at least one bilateral low pass filter based on a difference between the second set of noise values and the first set of noise values; and adjusting the noise level of each pixel of the image sensor via applying the at least one bilateral low pass filter with the updated coefficient according to the target set of noise values.