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:
A method of obtaining a high-resolution digital image from a plurality of starting images formed by pixel matrices and acquired at a lower resolution. The method comprises a phase of combining the plurality of starting images to generate a provisional high-resolution image. The method thereafter comprises a phase of producing a further plurality of low-resolution images from the provisional image, each of the images of said further plurality corresponding to a respective image of the plurality of starting images. The method also comprises a phase in which the provisional image is at least partly processed by modifying pixels of this image to reduce a difference between corresponding images of the plurality of starting images and said further plurality and is characterized by the fact the phase of processing the provisional image comprises phases of:
associating pixels of the provisional image with a respective measure representing the uncertainty of the pixels, leaving unmodified at least a subset of pixels of the provisional image with which there is associated a respective uncertainty measure smaller than a predetermined threshold value.
Abstract:
A method of compressing digital images, represented by pixel matrices, that employs the transform into the two-dimensional spatial frequency domain and a quantization process realized with matrices optimised in accordance with psycho-visual and statistical criteria, where the statistical criteria relate to specific image classes.
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.
Abstract:
The system carries out conversion of digital video signals organized in blocks of pixels from a first format (10, 30) to a second format (15, 25). The second format is a format compressed via vector quantization (13, 27). The vector quantization is performed by means of repeated application of a scalar quantizer to the pixels of said blocks with a quantization step (Q) determined in an adaptive way according to the characteristics of sharpness and/or brightness of the pixels.
Abstract:
A method of compressing digital images acquired in CFA (colour filter array) format (3) that utilizes optimised quantization matrices. The method, basing itself on the statistical characterization of the error introduced during the processing phase (4,5) that precedes compression (6), appropriately modifies the coefficients of any initial quantization matrix, even of a standard type, obtaining a greater compression efficiency without introducing further quality losses.