Abstract: A method for processing of image data is described, wherein an image comprises a matrix of pixels. The method includes: determining differences between a pixel value of a current pixel and a pixel value of a respective adjacent pixel in a number of gradient directions; and encoding the current pixel by replacing the current pixel by the gradient direction having the minimum gradient difference for the current pixel. Thus, the gradient direction is explicitly encoded into the output image data stream.

Abstract: A method is provided for encoding a digital signal as an encoded signal. The method includes performing a plurality of localized encodings of a digital signal to generate a set of encoded local signals. Localized encodings are performed for a first sample of the digital signal. A plurality of physical quantities is assigned to the first sample. The set of encoded local signals includes an encoded local signal associated with each physical quantity of the plurality of physical quantities. The method further includes analyzing a characteristic associated with an encoded signal to determine a measured value of the characteristic. The encoded signal includes the set of encoded local signals. The method also includes adjusting a first encoding parameter associated with the plurality of localized encodings according to the measured value of the characteristic and a target value of the characteristic. The first encoding parameter is adjusted for a second sample of the digital signal.

Abstract: A method is provided for encoding a digital signal as an encoded signal. The method includes performing a plurality of localized encodings of a digital signal to generate a set of encoded local signals. Localized encodings are performed for a first sample of the digital signal. A plurality of physical quantities is assigned to the first sample. The set of encoded local signals includes an encoded local signal associated with each physical quantity of the plurality of physical quantities. The method further includes analyzing a characteristic associated with an encoded signal to determine a measured value of the characteristic. The encoded signal includes the set of encoded local signals. The method also includes adjusting a first encoding parameter associated with the plurality of localized encodings according to the measured value of the characteristic and a target value of the characteristic. The first encoding parameter is adjusted for a second sample of the digital signal.

Abstract: A method of encoding an initial digital signal in an encoded signal, where the initial digital signal includes a sequence of samples representing a multidimensional space, and each sample may be assigned at least one physical magnitude. The method may include, for at least some of the current samples, locally encoding the signal in encoded local digital signals, with the encodings being performed in local reference frames each including the current sample considered and two reference samples. The reference samples may be chosen based upon a minimum gradient of the at least one physical magnitude, from among the available samples of the sequence, and the encoded signal may include the encoded local digital signals.

Abstract: A method is provided for encoding an initial digital signal as an encoded signal. The initial digital signal includes a sequence of samples representing a multidimensional space. Each sample is assigned at least one physical quantity. The method includes, for some of the current samples, localized encoding of the signal as encoded local digital signals. The encoded signal includes the encoded local digital signals. The method also includes an on-the-fly analysis of a characteristic associated with the encoded signal, and a direct or indirect adjustment at the sample level, of at least one encoding parameter involved in the localized encodings so as to stabilize the value of the characteristic on a target value to within a tolerance.

Abstract: A method is provided for encoding an initial digital signal as an encoded signal. The initial digital signal includes a sequence of samples representing a multidimensional space. Each sample is assigned at least one physical quantity. The method includes, for some of the current samples, localized encoding of the signal as encoded local digital signals. The encoded signal includes the encoded local digital signals. The method also includes an on-the-fly analysis of a characteristic associated with the encoded signal, and a direct or indirect adjustment at the sample level, of at least one encoding parameter involved in the localized encodings so as to stabilize the value of the characteristic on a target value to within a tolerance.

Abstract: A method of encoding an initial digital signal in an encoded signal, where the initial digital signal includes a sequence of samples representing a multidimensional space, and each sample may be assigned at least one physical magnitude. The method may include, for at least some of the current samples, locally encoding the signal in encoded local digital signals, with the encodings being performed in local reference frames each including the current sample considered and two reference samples. The reference samples may be chosen based upon a minimum gradient of the at least one physical magnitude, from among the available samples of the sequence, and the encoded signal may include the encoded local digital signals.

Abstract: An image includes at least first and second digital samples corresponding to first and second different color components. The image is compressed by detecting level changes of a first signal formed of the sequence of the first samples and by detecting level changes of a second signal formed of the sequence of the second samples. A determination is made as to whether the detected changes coincide with each other. The first signal is decimated. The compressed image that is output includes the decimated first signal, the second signal and a further signal indicative of coinciding detected changes.

Abstract: An image includes at least first and second digital samples corresponding to first and second different color components. The image is compressed by detecting level changes of a first signal formed of the sequence of the first samples and by detecting level changes of a second signal formed of the sequence of the second samples. A determination is made as to whether the detected changes coincide with each other. The first signal is decimated. The compressed image that is output includes the decimated first signal, the second signal and a further signal indicative of coinciding detected changes.

Abstract: A method compresses, into a compressed image signal, an initial image signal including a sequence of pixels having respective amplitudes of plural digital color components. The method includes, for each color component, subdividing the sequence into several groups of several adjacent pixels, and for each group of a portion of the groups, generating a sequenced set of pixels for the group by a monotone sequencing of the pixels of the group as a function of amplitudes of the color component, and approximating amplitudes of the color component of the pixels of the set by a monotone approximation function with one variable related to positions of the pixels in the set. The compressed image signal includes indications of position of the sequenced pixels in the group and characteristics of the approximation function associated with that group.

Abstract: A method compresses, into a compressed image signal, an initial image signal including a sequence of pixels having respective amplitudes of plural digital color components. The method includes, for each color component, subdividing the sequence into several groups of several adjacent pixels, and for each group of a portion of the groups, generating a sequenced set of pixels for the group by a monotone sequencing of the pixels of the group as a function of amplitudes of the color component, and approximating amplitudes of the color component of the pixels of the set by a monotone approximation function with one variable related to positions of the pixels in the set. The compressed image signal includes indications of position of the sequenced pixels in the group and characteristics of the approximation function associated with that group.

Abstract: A digital video stream of color images intended to be displayed on a matrix screen is formed of macropixels having at least four subpixels each. During processing, the color components of each image are transformed into an RGB format based on a polygonal representation of the color components and designed for the display of images using at least four colors by activating the four subpixels. The color components of the image are adapted in the course of the transformation.

Abstract: A digital image including a plurality of pixels is processed. Each pixel has at least one colorimetric component. The processing of the image includes processing for each pixel of a group of pixels of the image and for each colorimetric component of the pixel. In this processing, a modification is made to the value of the colorimetric component so as to obtain a modified value situated inside or outside a colorimetric range. A comparison is made of the modified value to the upper and lower limits of the associated colorimetric range. If the corrected value is outside the associated colorimetric range, a corrected value equal to an additional value is assigned to the corresponding colorimetric component of the pixel. The additional value is chosen to be unique and included in the associated colorimetric range and different from the values of the limits of the associated colorimetric range.

Abstract: A system for edge enhancement includes an input unit to receive an input signal Yin, a vertical enhancement unit to perform a vertical enhancement of an edge of the input signal Yin to generate an output YEV, and a horizontal enhancement unit to perform a horizontal enhancement of the edge of the input signal Yin to generate an output YEH. The system also includes a local gradient analysis unit to generate a local gradient direction GradDir and a local gradient magnitude GradMag based at least partly upon the input signal Yin, and a mixer to generate an output Yout by mixing the output YEV with the output YEH using the local gradient direction GradDir. The system further includes an output unit to output the output Yout.

Abstract: Provided are a digital video rescaling system, a method of rescaling video images, and a chip comprising a computer executable medium embedded therein computer executable instructions for rescaling video images.

Abstract: A method of processing a digital image which includes at least one contour zone, including a contour zone sharpness processing. The sharpness processing includes a conversion of the cues regarding level of pixels of the contour zone into initial main cues, lying between zero and a main value dependent on the amplitude of the contour, a sharpness sub-processing performed on these initial main cues so as to obtain final main cues, and a conversion of the final main cues into final cues regarding levels.

Abstract: A system for edge enhancement includes an input unit to receive an input signal Yin, a vertical enhancement unit to perform a vertical enhancement of an edge of the input signal Yin to generate an output YEV, and a horizontal enhancement unit to perform a horizontal enhancement of the edge of the input signal Yin to generate an output YEH. The system also includes a local gradient analysis unit to generate a local gradient direction GradDir and a local gradient magnitude GradMag based at least partly upon the input signal Yin, and a mixer to generate an output Yout by mixing the output YEV with the output YEH using the local gradient direction GradDir. The system further includes an output unit to output the output Yout.

Abstract: A video image processing system is described that generates the interpolated video images with sharp and jaggedness-free edges. A method of video image processing is also described that interpolates video images to generate the video images with sharp and jaggedness-free edges. The video image processing system receives and makes input image data available for further processing; analyzes the local features of the input image data; filters the input image data before performing interpolation process; modifies the phase value adaptive to the local edge distance; rescales the input image data in horizontal interpolation using the modified phase value; and rescales the horizontally interpolated image data in vertical interpolation using modified phase value.

Abstract: A digital image including a plurality of pixels is processed. Each pixel has at least one colorimetric component. The processing of the image includes processing for each pixel of a group of pixels of the image and for each colorimetric component of the pixel. In this processing, a modification is made to the value of the colorimetric component so as to obtain a modified value situated inside or outside a colorimetric range. A comparison is made of the modified value to the upper and lower limits of the associated colorimetric range. If the corrected value is outside the associated colorimetric range, a corrected value equal to an additional value is assigned to the corresponding colorimetric component of the pixel. The additional value is chosen to be unique and included in the associated colorimetric range and different from the values of the limits of the associated colorimetric range.

Abstract: The invention concerns a device for processing a digital image comprising at least one contour region, including sharpness processing of the contour region. The sharpness processing includes converting data of the level of pixels of the contour zone into initial main data (step 2), ranging between a minimum value, for example 0 and a main value based on the amplitude of the contour, a sharpness sub-processing performed on said initial main data so as to obtain final main data (steps 3 to 10), and converting the final main data into final data of levels (step 11).