A method for temporal denoising of a sequence of images, said method comprising: /a/ capturing, by a first sensor (SENS_A), a sequence of first images (A(x,y,t)) corresponding to a given scene, each first image being divided into elements each associated with a corresponding area of said first image, /b/ capturing, by a second sensor (SENS_B) a sequence of second images (B(x,y,t)) corresponding to said given scene, the second sensor operating in a spectral band different from the first sensor or having a sensitivity at least ten times greater than the one of the first sensor, each second image corresponding to a first image, each second image being divided into elements each associated with a corresponding area of said second image, each pair of element and associated area of the second image corresponding to a pair of element and associated area of the corresponding first image, /c/ obtaining, by a calculation circuit (C_CIRC), a first sequence of images derived from the sequence of first images (A(x,y,t)) and a second sequence of images derived from the sequence of second images (B(x,y,t)), /d/ obtaining, by a calculation circuit (C_CIRC), for each area of each of the images of the first and second sequences of images, an associated weight, the weighting being such as to highlight the sector with the greatest spatial variance, /e/ obtaining, by a calculation circuit (C_CIRC), a first weighted sequence of images, in which each element of each image is equal to the corresponding element of the first sequence of images weighted by the weight associated with the area associated with said corresponding element, and a second weighted sequence of images, in which each element of each image is equal to the corresponding element of the second sequence of images weighted by the weight associated with the area associated with said corresponding element, /f/ obtaining, by a calculation circuit (C_CIRC), a sequence of enhanced variance images (I(x,y,t)) resulting from combining sequences of images comprising the first weighted sequence of images and the second weighted sequence of images, /g/ obtaining, by a calculation circuit (C_CIRC), a motion estimation based on the obtained sequence of enhanced variance images (I(x,y,t)), /h/ obtaining, by a calculation circuit (C_CIRC), based on the calculated motion estimation, a spatial alignment of the images of a sequence of images to be displayed derived from sequences of images corresponding to the given scene and comprising the sequence of first images (A(x,y,t)) and the sequence of second images (B(x,y,t)), /i/ a temporal denoising, by a calculation circuit (C_CIRC), based on the determined spatial alignment of the sequence of images to be displayed. /a/ capturing, by a first sensor (SENS_A), a sequence of first images (A(x,y,t)) corresponding to a given scene, each first image being divided into elements each associated with a corresponding area of said first image, /b/ capturing, by a second sensor (SENS_B) a sequence of second images (B(x,y,t)) corresponding to said given scene, the second sensor operating in a spectral band different from the first sensor or having a sensitivity at least ten times greater than the one of the first sensor, each second image corresponding to a first image, each second image being divided into elements each associated with a corresponding area of said second image, each pair of element and associated area of the second image corresponding to a pair of element and associated area of the corresponding first image, /c/ obtaining, by a calculation circuit (C_CIRC), a first sequence of images derived from the sequence of first images (A(x,y,t)) and a second sequence of images derived from the sequence of second images (B(x,y,t)), /d/ obtaining, by a calculation circuit (C_CIRC), for each area of each of the images of the first and second sequences of images, an associated weight, the weighting being such as to highlight the sector with the greatest spatial variance, /e/ obtaining, by a calculation circuit (C_CIRC), a first weighted sequence of images, in which each element of each image is equal to the corresponding element of the first sequence of images weighted by the weight associated with the area associated with said corresponding element, and a second weighted sequence of images, in which each element of each image is equal to the corresponding element of the second sequence of images weighted by the weight associated with the area associated with said corresponding element, /f/ obtaining, by a calculation circuit (C_CIRC), a sequence of enhanced variance images (I(x,y,t)) resulting from combining sequences of images comprising the first weighted sequence of images and the second weighted sequence of images, /g/ obtaining, by a calculation circuit (C_CIRC), a motion estimation based on the obtained sequence of enhanced variance images (I(x,y,t)), /h/ obtaining, by a calculation circuit (C_CIRC), based on the calculated motion estimation, a spatial alignment of the images of a sequence of images to be displayed derived from sequences of images corresponding to the given scene and comprising the sequence of first images (A(x,y,t)) and the sequence of second images (B(x,y,t)), /i/ a temporal denoising, by a calculation circuit (C_CIRC), based on the determined spatial alignment of the sequence of images to be displayed.