Abstract:
A method of stabilizing an image sequence, said method comprising the following phases:
estimating (Mot_Est) a first global motion vector ( absGMV [n,ref]) comprising a first motion component ( absGMV y [n,ref] ) in a predetermined direction that has associated with it a first respective amplitude and a first respective direction, said first vector being representative of the motion with respect to a reference image ( Img ref ) of a first image ( Img n ) consisting of a pixel matrix, associating said first component with either a wanted motion or an unwanted motion, compensating said first component when it is associated with an unwanted motion, characterized in that the association phase comprises a phase of comparing the first amplitude of said component with a threshold compensation value ( T hor c om p ) assigned to the predetermined direction, said first component being associated with an unwanted or wanted motion whenever the first amplitude is, respectively, smaller than said threshold value ( T hor c om p ) or greater than/equal to it.
Abstract:
A method (Mot_Est) of estimating a global motion vector representative of the motion of a first digital image ( Img n ) with respect to a second digital image ( Img n-1 ), the first and the second image forming part of a sequence of images and being made up of, respectively, a first and a second pixel matrix. The method estimates the global motion vector on the basis of the estimate of at least one motion vector ( F_GMV, B_GMV ) of at least one region (F_Ground, B_Ground) of the first image ( Img n ) representative of the motion of the at least one region from the first image to the second image and comprising phases of:
subdividing the at least one region of the first image into a plurality of pixel blocks, assigning (Block_Weight) to each block of the plurality a respective weighting coefficient calculated on the basis of a respective inhomogeneity measure, estimating (GMV_Select) the at least one motion vector ( F_GMV, B_GMV ) of said at least one region (F_Ground, B_Ground) on the basis of the weighting coefficients assigned to each block of the at least one region.
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:
Presented is a digital camera, comprising:
a sensor (205) for sensing an image and producing a first signal; a Bayer pattern producer (210) coupled to said sensor (205) and structured to produce a Bayer pattern from said first signal; a splitter (212) structured to split said Bayer pattern into separate color channels; a compressor (220) for compressing said color channels into a compressed image; an output interface (226) structured to transmit said compressed image on a communication channel; and a color interpreter structured to perform a modification on exactly one of said color channels from said splitter (212) prior to sending said color channels to said compressor (220).
Additionally described is a network that operates with said digital camera to perform certain functions, as directed by a user of said digital camera.
Abstract:
A method (400) of compressing a digital image including a matrix of elements each one consisting of a plurality of digital components of different type representing a pixel, the method comprising the steps of providing (410-430) an incomplete digital image wherein at least one component is missing in each element, obtaining (433-435) the digital image from the incomplete digital image, splitting (455) the digital image into blocks and calculating, for each block, a group of DCT coefficients for the components of each type, and quantizing (460-465) the DCT coefficients of each group using a corresponding quantization table scaled by a gain factor; the method further comprises the steps of determining (440) at least one energy measure of the incomplete digital image and estimating (445-450) the gain factor as a function of the at least one energy measure, the function being determined experimentally according to a target compression factor.
Abstract:
A method (400) of compressing a digital image including a matrix of elements each one consisting of a plurality of digital components of different type representing a pixel, the method comprising the steps of splitting (455) the digital image into a plurality of blocks and calculating, for each block, a group of DCT coefficients for the components of each type, and quantizing (460-465) the DCT coefficients of each block using a corresponding quantization table scaled by a gain factor for achieving a target compression factor; the method further comprises the steps of determining (440) at least one energy measure of the digital image, and estimating (441-450) the gain factor as a function of the at least one energy measure, the function being determined experimentally according to the target compression factor.