Abstract: An electronic device includes an image sensor configured to acquire raw image data in a color filtered array format. A processor is coupled to the image sensor and configured to demosaic the raw image data in the color filtered array format into RGB image data having red data, green data, and blue data. The processor also performs color noise reduction on the red data, green data, and blue data of the RGB image data so as to produce corrected image data. The processor further converts the corrected image data into corrected image data in the color filtered array format.

Abstract: Generating by a digital processing device, of a first digital image from a second digital image, by: for each pixel of the second image, determining a pixel luminance; dividing the interval ranging from the lowest to the highest luminance into a plurality of sub-intervals; and determining the value of at least one pixel of the first image by multiplying the value of a pixel of the second image by a gain determined by interpolation by taking into account the distance of the pixel luminance of the second image to the limits of the sub-interval containing this luminance.

Abstract: A method of generation, by a digital processing device, of a first high dynamic range digital image from second and third digital images of a same scene, including, for at least one point of the first image: determining a brightness index; comparing this index with at least one of first, second, third, and fourth decreasing thresholds stored in a memory; and determining the value of the point by taking into account the value of the index.

Abstract: An embodiment of a method for reducing chroma noise in digital image data and of a corresponding image processor. Chrominance components are subjected to low-pass filtering. The strength of the low-pass filtering is modulated in accordance with the dynamic range of the luminance signal and the dynamic range of each of the two chrominance signals in order to avoid color bleeding at image-object edges. Moreover, the low-pass filtering is selectively applied to pixels with similar luminance and chrominance values only. A combination of down-sampling and up-sampling units is employed so that comparatively small filter kernels may be used for removing chroma noise with low spatial frequency.

Abstract: The present disclosure relates to a method for improving the perception of an image. The method may include subjecting an original image to a series of independent processes, each producing a pixel calculated using a respective reference kernel. The reference kernels each may comprise pixels from the original image.

Abstract: Generating by a digital processing device, of a first digital image from a second digital image, by: for each pixel of the second image, determining a pixel luminance; dividing the interval ranging from the lowest to the highest luminance into a plurality of sub-intervals; and determining the value of at least one pixel of the first image by multiplying the value of a pixel of the second image by a gain determined by interpolation by taking into account the distance of the pixel luminance of the second image to the limits of the sub-interval containing this luminance.

Abstract: A method of generation, by a digital processing device, of a first high dynamic range digital image from second and third digital images of a same scene, including, for at least one point of the first image: determining a brightness index; comparing this index with at least one of first, second, third, and fourth decreasing thresholds stored in a memory; and determining the value of the point by taking into account the value of the index.

Abstract: A method for improving the perception of an image may include performing a main separation of the pixels of the image into two categories, one corresponding to pixels of a flat zone, and the other corresponding to pixels of a textured zone. The method may also include processing the pixels of each category according to a method optimized according to the type of zone. Before the main separation step, a preliminary separation of the pixels may be performed into one category of normal pixels intended for the main separation step, and one category of singular pixels, with the criterion for selecting the singular pixels being adapted to identify pixels that would be wrongly identified as pixels of a textured zone. The singular pixels may then be processed according to a method adapted to their nature.

Abstract: An image noise correction method is provided. For at least one target pixel having a determined pixel value, for each pixel in a window of pixels surrounding the target pixel, a weighting factor for the pixel is estimated based on the value of the target pixel and at least one pixel value in the window. An average of pixel values for the pixels in the window is calculated, with each pixel value being weighted by the weighting factor corresponding to the pixel. A new value is assigned to the target pixel based on the average of pixel values that is calculated. Also provided is an image noise correction device.

Abstract: An embodiment of a method for reducing chroma noise in digital image data and of a corresponding image processor. Chrominance components are subjected to low-pass filtering. The strength of the low-pass filtering is modulated in accordance with the dynamic range of the luminance signal and the dynamic range of each of the two chrominance signals in order to avoid color bleeding at image-object edges. Moreover, the low-pass filtering is selectively applied to pixels with similar luminance and chrominance values only. A combination of down-sampling and up-sampling units is employed so that comparatively small filter kernels may be used for removing chroma noise with low spatial frequency.

Abstract: A method for improving the perception of an image may include performing a main separation of the pixels of the image into two categories, one corresponding to pixels of a flat zone, and the other corresponding to pixels of a textured zone. The method may also include processing the pixels of each category according to a method optimized according to the type of zone. Before the main separation step, a preliminary separation of the pixels may be performed into one category of normal pixels intended for the main separation step, and one category of singular pixels, with the criterion for selecting the singular pixels being adapted to identify pixels that would be wrongly identified as pixels of a textured zone. The singular pixels may then be processed according to a method adapted to their nature.

Abstract: The present disclosure relates to a method for improving the perception of an image. The method may include subjecting an original image to a series of independent processes, each producing a pixel calculated using a respective reference kernel. The reference kernels each may comprise pixels from the original image.

Abstract: An image noise correction method is provided. For at least one target pixel having a determined pixel value, for each pixel in a window of pixels surrounding the target pixel, a weighting factor for the pixel is estimated based on the value of the target pixel and at least one pixel value in the window. An average of pixel values for the pixels in the window is calculated, with each pixel value being weighted by the weighting factor corresponding to the pixel. A new value is assigned to the target pixel based on the average of pixel values that is calculated. Also provided is an image noise correction device.