Abstract: A method for converting a rectilinear image and a focal length into a cylindrical image parameterized by a height of the cylinder and an angular distance in a single buffer on a remote processing device. The method, on the remote processing device, comprising joining two or more images together to form a panoramic image with corrected perspective. The rectilinear transformation is “in-place” and requires only one buffer. Color correction and motion estimation is also carried out on the remote device. In an alternate embodiment, a computer readable medium corresponding to the above method is described.

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 average 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.

Abstract: A method of processing digital images in devices for acquiring both individual images and image sequences, comprising the step of acquiring images in color filter array (CFA) format and the step of reducing the resolution of the images acquired. In order to reduce computing time and energy consumption, the resolution-reduction step processes the images directly in CFA format.

Abstract: A method compresses a digital image including a matrix of elements each one including a plurality of digital components of different type representing a pixel. The method includes the steps of providing an incomplete digital image wherein at least one component is missing in each element, obtaining the digital image from the incomplete digital image, splitting 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 the DCT coefficients of each group using a corresponding quantization table scaled by a gain factor for achieving a target compression factor. The method further comprises the steps of determining an energy measure of the incomplete digital image and estimating the gain factor as a function of the energy measure, the function being determined experimentally according to the target compression factor.

Abstract: A method of filtering an image filter is disclosed. The filter is provided for a digital camera including image sensors sensitive to light, a color filter placed over sensitive elements of the sensors and patterned according to a Bayer mosaic pattern layout and an interpolation algorithm joining together the digital information provided by differently colored adjacent pixels in said Bayer pattern. The filter is adaptive and includes a noise level computation block for operating directly on a said Bayer pattern data set of for each color channel thus removing noise while simultaneously preserving picture detail.

Abstract: A digital camera includes a sensor (205) for sensing an image and producing a first signal. A Bayer pattern producer (210) is coupled to the sensor and structured to produce a Bayer pattern from the first signal. The Bayer pattern is then split (212) into separate color channels. A color interpolator (214) is structured to perform a modification on only one of the color channels produced by the splitter (212). A compressor (220) then compresses the interpolated and non-interpolated color channels into a compressed image. An output interface (226) facilitates remote transmission of the compressed image over a communication channel. This communication may be made over a network to a server that operates in conjunction with the digital camera to perform certain functions, like image processing, manipulation, storage and communication, as directed by a user of the digital camera.

Abstract: A method for correcting color in a system for creating a panoramic image from a plurality of images taken by a camera. The method comprising the steps of: receiving a color channel from at least a first image and a second image; creating an overlap portion between the first image and second image; and adjusting the color channel for the first image and for the second image in at least the overlap portion between the first image and the second image which is independent of motion estimation. In an alternate embodiment, a system and computer readable medium corresponding to the above method is described.

Abstract: A method is for compressing a digital image that is made up of a matrix of elements, with each element including a plurality of digital components of different types for representing a pixel. The method includes splitting 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 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 includes determining at least one energy measure of the digital image, and estimating the gain factor as a function of the at least one energy measure. The function is determined experimentally according to the target compression factor.

Abstract: A method is for compressing a digital image including a matrix of elements, with each element including at least one component of a different type for representing a pixel. The method includes splitting the digital image into a plurality of blocks, and calculating for each block a group of discrete cosine transform (DCT) coefficients for the components of each type, and quantizing the DCT coefficients of each group using a corresponding quantization table scaled by a gain factor for achieving a target compression factor. The method also includes further quantizing the DCT coefficients of each group using the corresponding quantization table scaled by a pre-set factor, and arranging the further quantized DCT coefficients in a zig-zig vector.

Abstract: A system and method for reducing noise using recursive noise level estimation. The system and method for noise reduction substitute a target pixel in a processing window with a weighted average of a plurality of neighboring pixels according to the degree of similarity between the target pixel and the neighboring pixels. The similarity is based on the noise level affecting the image and the local brightness of the processing window. The filter is based on fuzzy logic and filters out noise without smoothing the image's fine details. The filter uses a human visual system (HVS) response to adjust brightness.

Abstract: A filter reduces artifacts, such as grid noise and staircase noise, in block-coded digital images with image block boundaries. The type of filtering is determined after an estimation of the image global metrics and local metrics. For areas of the image near grid noise, the filter performs low pass filtering. For image fine details, such as edges and texture, no filtering is performed so that masking is avoided. The filter operates in intra-field mode and uses a fuzzy logic process, pixel deltas, and dual ramp generators to determine the horizontal and vertical length of a processing window surrounding an image block boundary.

Abstract: A digital image color correction device and method employing fuzzy logic, for correcting a facial tone image portion of a digital video image is provided.

Abstract: A digital photography apparatus, particularly a digital still camera, includes circuit portions for acquiring a digital image, and for obtaining a compressed image. The apparatus also includes a memory for storing the compressed image. A processor is provided for obtaining a processed image and corresponding processing parameters from the image acquired. The processor supplies as an output, in a first operative condition, the processed image to be compressed by the compression circuit portion. In a second operative condition, the processor supplies as an output the image acquired to be compressed by the compression portion and the processing parameters to be stored in the memory.

Abstract: A method and a device for motion estimated and compensated Field Rate Up-conversion (FRU) for video applications is disclosed and claimed. The invention provides for dividing an image field to be interpolated into a plurality of image blocks, where each image block includes a respective set of image elements of the image field. In one embodiment, for each image block of a subset of image blocks, a group of neighboring image blocks is selected. A motion vector for the image block is estimated that describes the movement of the image block from a previous image field to a current image field on the basis of predictor motion vectors associated to the group of neighboring image blocks. Each image element of the image block is determined by interpolation of two corresponding image elements in the previous and current image fields related by the estimated motion vector.

Abstract: The level of Gaussian noise in a memory field being scanned by rows is reduced by reconstructing each pixel by fuzzy logic processors. The processors process the values of pixels neighboring the pixel being processed and belonging to a processing window defined by the last scanned row and the row being scanned, thus minimizing the memory requirement of the filtering system to a single row. The system performs an adaptive filtering within the current field itself and does not produce “edge-smoothing” effects as in prior adaptive filtering systems operating on consecutive fields.

Abstract: A system and method for reducing noise using recursive noise level estimation. The system and method for noise reduction substitute a target pixel in a processing window with a weighted average of a plurality of neighboring pixels according to the degree of similarity between thc target pixel and the neighboring pixels. The similarity is based on the noise level affecting the image and the local brightness of the processing window. The filter is based on fuzzy logic and filters out noise without smoothing the image's fine details. The filter uses a human visual system (HVS) response to adjust brightness.

Abstract: A filter performs a reduction of pulsed noise in video images in accordance with fuzzy logic. An interface circuit of the filter receives consecutive digital signals in time corresponding to the video images and generates an image window having a digital signal to be processed at the center. The filter also has a comparator block, a plurality of digital subtractors, and a memory circuit connected in cascade to the comparator block. The filter also has a filtering circuit that organizes values of digital signals of the video image, and an arithmetic block that performs a switch between the digital signal to be processed and the output of the filtering circuit on the basis of the values taken by the parameter.

Abstract: A processing device for video signals has a memory device suitable to store discrete image elements of a video field and a filtering device supplied by the memory device and suitable to recover errors introduced by the memory device. The filtering device includes a filter, noise detector means, and soft-switch means. The filter has an input supplied with digital signals representative of values of a plurality of discrete image elements and comprises an image element to be examined and neighboring image elements. The discrete image elements is stored in the memory device, and an output supplying digital signals representative of a filtered value of the image element to be examined. The noise detector means operating on fuzzy-logic rules has an input supplied with the digital signals representative of the plurality of values of the image elements and an output supplying a weight signal representative of a degree of erroneousness of the discrete image element to be examined.

Abstract: A circuit for enhancing chrominance transitions in a received chrominance video signal comprises a linear-phase digital filter supplied with an input stream of discrete chromatic image elements. The filter also has a high-pass transfer characteristic in a region of the frequency spectrum corresponding to an upper limit of a transmitted chrominance signal bandwidth for enhancing high-frequency components of the received chrominance signal. The circuit additionally includes non-linear digital post-processing circuitry which accepts as input an output of the filter and the input stream of discrete chromatic image elements. The non-linear post-processing circuitry acts on the output of the filter to eliminate distortions introduced in the received chrominance signal by the filter. The post-processing circuitry then detects if the received chrominance signal contains a transition pattern corresponding to predetermined patterns.

Abstract: An interpolation filter for video signals includes four circuits to improve video quality in both intra-field and inter-field modes. The interpolation filter is configured to interpolate according to the direction of an image edge. The interpolation filter is also configured to interpolate in a prescribed spatial direction when no image edges can be univocally determined. The first circuit detects an image edge of discrete image elements to generate a first signal. The second circuit uses output from the first circuit to generate a first signal corresponding to an average of the discrete image elements along a direction of the image edge. The third circuit uses output from the first circuit to detect a texture image area wherein an image edge cannot be univocally determined and for generating a second signal depending on a degree of existence of the image edge. The fourth circuit is supplied by the first signal, the second signal and a third signal.