Abstract: An image formed from pixels each having components defining a color is processed to implement an increase in the saturation of the image depending on a gain applied by a transfer function depending on the components of the color of each pixel. The gain of the transfer function is parameterized using at least one control parameter respectively dedicated to at least one type of reference image content. The value of the at least one control parameter is calculated depending on the actual content of the image by implementing calculations including determining colorimetric statistics of the pixels of the image and processing the statistics in accordance with at least one processing model respectively associated with the at least one type of reference image content.

Abstract: An image formed from pixels each having components defining a color is processed to implement an increase in the saturation of the image depending on a gain applied by a transfer function depending on the components of the color of each pixel. The gain of the transfer function is parameterized using at least one control parameter respectively dedicated to at least one type of reference image content. The value of the at least one control parameter is calculated depending on the actual content of the image by implementing calculations including determining colorimetric statistics of the pixels of the image and processing the statistics in accordance with at least one processing model respectively associated with the at least one type of reference image content.

Abstract: The invention relates to a method for estimating a blurriness value based on a series of at least two frames acquired within a period of time greater than or equal to a given exposure time, the frames being grouped in at least one couple of frames, characterized in that it comprises determining, for each couple of frames of the series, first and second values corresponding to a displacement according to a first direction and a second direction, between the first frame and the second frame of a couple of frames, determining a first blur measure for one direction among the first and second directions by calculating a metric based on the displacement values for each couple of frames of at least a subset of the series, determining a second blur measure for the other direction among the first and second directions by calculating a metric applied to the displacement values for each couple of frames of the series of frames and determining a blurriness value based on the first and second blur measures.

Abstract: The invention relates to a method for regenerating the background of digital images of a video stream comprising steps consisting in: —setting an initial background image, —cutting the unit images of the video stream into blocks b (i, j, t) and of the background image into corresponding blocks Bo (i, j, t). The method is essentially characterized in that it further includes steps consisting in: —selecting one block Bo of the background image and/or b of the frame image, and •calculating the space correlation thereof, with: •at least one block Bo of the background image at a time (t), and/or at another time (t?a), and/or •at least one block b of the frame image at a time (t), and/or at another time (t?a), and/or—updating the background image according to the calculation of the space correlation.

Abstract: A method of processing a digital image, said image comprising a plurality of pixels, the method comprising a computation step (S1) wherein a histogram of the distribution of the number of pixels of the image as a function of their luminance is computed, a step (S2) for lightening the image based on said histogram comprising a subdivision (S20) of the pixels of the image into a first set of pixels having luminance values between a low threshold and a high threshold and into a second set of pixels having luminance values greater than said high threshold, a first luminance processing operation (S21) on the pixels of the first set of pixels and a second luminance processing operation (S22) on the pixels of the second set of pixels, the two luminance processing operations (S21, S22) being different, the first processing operation (S21) comprising an increase in the luminance of the pixels of the image.

Abstract: The invention relates to a method for estimating a blurriness value based on a series of at least two frames acquired within a period of time greater than or equal to a given exposure time, the frames being grouped in at least one couple of frames, characterized in that it comprises determining, for each couple of frames of the series, first and second values corresponding to a displacement according to a first direction and a second direction, between the first frame and the second frame of a couple of frames, determining a first blur measure for one direction among the first and second directions by calculating a metric based on the displacement values for each couple of frames of at least a subset of the series, determining a second blur measure for the other direction among the first and second directions by calculating a metric applied to the displacement values for each couple of frames of the series of frames and determining a blurriness value based on the first and second blur measures.

Abstract: The invention relates to a method for regenerating the background of digital images of a video stream comprising steps consisting in: -setting an initial background image, -cutting the unit images of the video stream into blocks b (i, j, t) and of the background image into corresponding blocks Bo (i, j, t). The method is essentially characterized in that it further includes steps consisting in: -selecting one block Bo of the background image and/or b of the frame image, and •calculating the space correlation thereof, with: •at least one block Bo of the background image at a time (t), and/or at another time (t?a), and/or .at least one block b of the frame image at a time (t), and/or at another time (t?a), and/or -updating the background image according to the calculation of the space correlation.

Abstract: A method of processing a digital image, said image comprising a plurality of pixels, pixels, the method comprising a computation step (S1) wherein a histogram of the distribution of the number of pixels of the image as a function of their luminance is computed, a step (S2) for lightening the image based on said histogram comprising a subdivision (S20) of the pixels of the image into a first set of pixels having luminance values between a low threshold and a high threshold and into a second set of pixels having luminance values greater than said high threshold, a first luminance processing operation (S21) on the pixels of the first set of pixels and a second luminance processing operation (S22) on the pixels of the second set of pixels, the two luminance processing operations (S21, S22) being different, the first processing operation (S21) comprising an increase in the luminance of the pixels of the image.

Abstract: The present invention relates to a method of processing a sequence of digital images, intended to detect, in a dynamical manner, a grid comprising blocking artefacts. Said method comprises the steps of, a) detecting (100) a current spatial grid (SG(t)) within a portion of the image constituted by a current field (FLD(t)), b) determining (200) a current reference grid (RG(t)) from a current spatial grid (SG(t)) and a preceding reference grid (RG(t-1)) supplied by a memory MEM (150), the current reference grid (RG(t)) being subsequently stored temporarily in the memory MEM (150), and c) correcting COR (300) blocking artefacts which are present in the current field (FLD(t)) from the preceding reference grid (RG(t-1)) so as to supply a processed field (PPP(t)).

Abstract: Blocking artifacts within a sequence of digital images are detected by detecting a grid corresponding to the blocking artifacts. A portion of a digital image is high-pass filtered to supply a set of discontinuity pixels. Blocking artifacts are detected in the set, and rows within the portion are searched for a grid row having a density of blocking artifacts that is substantially larger than that of its neighboring rows.

Abstract: A method of post-processing digital images frequency transforming a set of the pixels to a set of transformed coefficients; extracting original low-frequency coefficients and original high-frequency coefficients from the set of transformed coefficients; correcting the original low-frequency coefficients and the original high-frequency coefficients for delivering a set of corrected transformed coefficients including corrected low-frequency coefficients and corrected high-frequency coefficients; and combining the set of corrected transformed coefficients and the original high-frequency coefficients for delivering a set of combined transformed coefficients. The set of combined transformed coefficients are inverse frequency transformed for delivering a processed set of pixels that are ready for display on a screen.

Abstract: A video processor processes an image that comprises block of pixels. The video processor comprises a sharpness enhancer (ENH). The sharpness enhancer establishes an output pixel (Yo) on the basis of various input pixels (Yi) within an adaptive filter window. The adaptive filter window exclusively comprises input pixels that form part of the same block of pixels.

Abstract: The invention relates to a method of detecting blocking artefacts within a sequence of digital images. The method comprises a step of high-pass filtering (110) a portion of a digital image, intended to supply at least one card of discontinuity pixels. It also comprises a step of detecting (120) blocking artefacts from the at least one card of discontinuity pixels. Finally, it comprises a step of searching (130), HPF within the portion of the digital image, a set of grid rows, a grid row having a density of discontinuity pixels which is substantially higher than that of its neighboring rows. Such a method of detecting blocking artefacts is particularly efficient and allows, for example, a better correction of blocking artefacts in the grid rows.

Abstract: The present invention relates to a method of processing a sequence of digital images, intended to detect, in a dynamical manner, a grid comprising blocking artefacts. Said method comprises the steps of, a) detecting (100) a current spatial grid (SG(t)) within a portion of the image constituted by a current field (FLD(t)), b) determining (200) a current reference grid (RG(t)) from a current spatial grid (SG(t)) and a preceding reference grid (RG(t-1)) supplied by a memory MEM (150), the current reference grid (RG(t)) being subsequently stored temporarily in the memory MEM (150), and c) correcting COR (300) blocking artefacts which are present in the current field (FLD(t)) from the preceding reference grid (RG(t-1)) so as to supply a processed field (PPP(t)).

Abstract: The invention relates to a method of detecting blocking artefacts within a sequence of digital images. The method comprises a step of high-pass filtering a portion of a digital image, intended to supply at least one card of discontinuity pixels. It also comprises a step of detecting blocking artefacts, intended to detect a first type (p1) of elementary blocking artefact and a second type (p2) of elementary blocking artefact from the at least one card of discontinuity pixels. The method finally comprises a step of correcting the blocking artefacts in accordance with their type (p1, p2).

Abstract: The invention relates to a method of post-processing digital images, the method comprising a step of frequency transformation TF (21), suitable for delivering a set of transformed coefficients (Y) from a set of pixels (y), extraction SEP (22) of original low-frequency coefficients (Ybfo) and original high-frequency coefficients (Yhfo) comprised in the set of transformed coefficients, correction COR (23), suitable for delivering a set of corrected transformed coefficients (Yc) from the original low-frequency coefficients, and combination (24), suitable for delivering a set of combined transformed coefficients (Yadd) from the original high-frequency coefficients and from the set of corrected transformed coefficients, and a step of inverse frequency transformation ITF (25) of the set of combined transformed coefficients, suitable for delivering a processed set of pixels (yout) that are ready for display on a screen.