Abstract:
A method for improving the quality of a digital image acquired with a non-optimal exposure. The method, which is applied directly to the image in CFA (Colour Filter Array) format, identifies the regions of the image that are most important from the perceptive or contentual point of view by means of simple statistical measures. The image is then transformed by inverting the response function in such a manner as to optimize the quality of these regions.
Abstract:
A method of processing digital source images, each represented by pixel matrices, to obtain from two or more source images, representing one and the same real scene and acquired by utilizing different exposure levels, a final digital image capable of reproducing the real scene with an exposure latitude greater than that of each of the source images. The method, which can be advantageously used in digital still cameras, produces the final image by combining the source images with the help of a weighted mean constructed pixel by pixel. Thanks to a special filtering to which the weighting coefficients are subjected before the weighted mean operation, the method obtains a final image in which the source images are harmoniously combined with each other. A variant of the method can also be applied directly to digital images in CFA (Colour Filter Array) format.
Abstract:
A method (Q_Impr) for processing a first digital image, comprising an operation (A_Sharp) of increasing the sharpness of said digital image. The method is characterized in that the operation of increasing the sharpness (A_Sharp) is of the adaptive type and includes an operation of associating (TD_Ev) with pixel (p i (x,y)) of the starting image respective local homogeneity measures (k(x,y)), and an operation of providing pixel (p 0 (x,y)) of a second digital image by modifying respective pixels (p i (x,y)) of the first digital image on the basis of said respective local homogeneity measures (k(x,y)).
Abstract:
Subdivision per basic color channels of grey level data generated by a color sensor is no longer required according to a novel color interpolation method of an image acquired by a digital color sensor generating grey levels for each image pixel in function of the filter applied to the sensor, by interpolating the values of missing colors of each image pixel for generating triplets or pairs of values of primary colors (RGB) or complementary hues for each image pixel. The method comprises the following steps:
i) calculating spatial variation gradients of primary colors or complementary hues for each image pixel and storing the information of directional variation of primary color or complementary hue in look-up tables pertaining to each pixel; ii) interpolating color values of each image pixel considering said directional variation information of the respective values of primary colors or complementary hues stored in the respective look-up tables of the pixel for generating said multiple distinct values for each image pixel.
Abstract:
On décrit une méthode de traitement d'images numériques comprenant les phases de:
extraction d'informations chromatiques d'une image prise par un dispositif de prise d'images et concernant un sujet humain; localisation de régions d'intérêt visuel; et correction d'exposition de l'image prise par une normalisation d'une échelle de gris de l'image prise basée sur les régions d'intérêt visuel.
Avantageusement selon l'invention, la méthode comprend une phase de reconnaissance de zones correspondant à la peau du sujet photographié, ces zones étant utilisées comme régions d'intérêt visuel pour la phase de correction d'exposition.