Abstract: Processing raw image data in a camera includes computing a luminance image from the raw image data, and computing a chrominance image corresponding to at least one of the sensor's image colors from the raw image data. The luminance image and chrominance image(s) can represent the same range of colors able to be represented in the raw image data. The chrominance image can have a lower resolution than that of the luminance image. A camera for performing the method is also disclosed.

Abstract: Processing raw image data in a camera includes computing a luminance image from the raw image data, and computing a chrominance image corresponding to at least one of the sensor's image colors from the raw image data. The luminance image and chrominance image(s) can represent the same range of colors able to be represented in the raw image data. The chrominance image can have a lower resolution than that of the luminance image. A camera for performing the method is also disclosed.

Abstract: Methods, software products, digital cameras and other image processing systems process a set of transform coefficients. In at least one embodiment, the method comprises, for each block of transform coefficients representing an image: ordering the block's coefficients into a sequence; encoding the ordered coefficients to yield a sequence of codewords, each codeword including one or more encoded coefficients; and dividing the sequence of codewords into two or more sub-sequences.

Abstract: The disclosure relates to a filter array and to a method for processing image data in a camera. The camera is configured to receive light and generate image data using an image sensor having an associated filter array. The image sensor includes an array of pixels, each of which corresponds to a filter element in the filter array, so that each pixel has a spectral response at least partly defined by a corresponding filter element. The filter array includes a pattern of wideband filter elements and at least two types of narrowband filter elements. The method includes the step of generating a luminance image comprising a wideband filter element value that is calculated for each pixel of the image sensor.

Abstract: The disclosure relates to a filter array and to a method for processing image data in a camera. The camera is configured to receive light and generate image data using an image sensor having an associated filter array. The image sensor includes an array of pixels, each of which corresponds to a filter element in the filter array, so that each pixel has a spectral response at least partly defined by a corresponding filter element. The filter array includes a pattern of wideband filter elements and at least two types of narrowband filter elements. The method includes the step of generating a luminance image comprising a wideband filter element value that is calculated for each pixel of the image sensor.

Abstract: Processing raw image data in a camera includes computing a luminance image from the raw image data, and computing a chrominance image corresponding to at least one of the sensor's image colors from the raw image data. The luminance image and chrominance image(s) can represent the same range of colors able to be represented in the raw image data. The chrominance image can have a lower resolution than that of the luminance image. A camera for performing the method is also disclosed.

Abstract: Processing raw image data in a camera includes computing a luminance image from the raw image data, and computing a chrominance image corresponding to at least one of the sensor's image colors from the raw image data. The luminance image and chrominance image(s) can represent the same range of colors able to be represented in the raw image data. The chrominance image can have a lower resolution than that of the luminance image. A camera for performing the method is also disclosed.

Abstract: The disclosure relates to a filter array and to a method for processing image data in a camera. The camera is configured to receive light and generate image data using an image sensor having an associated filter array. The image sensor includes an array of pixels, each of which corresponds to a filter element in the filter array, so that each pixel has a spectral response at least partly defined by a corresponding filter element. The filter array includes a pattern of wideband filter elements and at least two types of narrowband filter elements. The method includes the step of generating a luminance image comprising a wideband filter element value that is calculated for each pixel of the image sensor.

Abstract: The disclosure relates to a filter array and to a method for processing image data in a camera. The camera is configured to receive light and generate image data using an image sensor having an associated filter array. The image sensor includes an array of pixels, each of which corresponds to a filter element in the filter array, so that each pixel has a spectral response at least partly defined by a corresponding filter element. The filter array includes a pattern of wideband filter elements and at least two types of narrowband filter elements. The method includes the step of generating a luminance image comprising a wideband filter element value that is calculated for each pixel of the image sensor.

Abstract: Methods, software products, digital cameras and other image processing systems process a set of transform coefficients. In at least one embodiment, the method comprises, for each block of transform coefficients representing an image: ordering the block's coefficients into a sequence; encoding the ordered coefficients to yield a sequence of codewords, each codeword including one or more encoded coefficients; and dividing the sequence of codewords into two or more sub-sequences.

Abstract: A method of processing image data that is represented in a frequency domain includes the step of applying a noise signal to the image data to yield noise-applied image data. In at least one embodiment, the image data includes one or more sets of coefficients arising from application of a discrete cosine transform, each set of coefficients comprising a DC coefficient and one or more AC coefficients. The noise signal is applied to the image data by modifying one or more of the coefficients in one or more of the sets. The modifying includes replacing one or more of the AC coefficients with random or pseudo random numbers having a distribution. Noise present in the image data may be equalized, prior to the step of applying the noise signal.

Abstract: Processing raw image data in a camera includes computing a luminance image from the raw image data, and computing a chrominance image corresponding to at least one of the sensor's image colors from the raw image data. The luminance image and chrominance image(s) can represent the same range of colors able to be represented in the raw image data. The chrominance image can have a lower resolution than that of the luminance image. A camera for performing the method is also disclosed.

Abstract: Processing raw image data in a camera includes computing a luminance image from the raw image data, and computing a chrominance image corresponding to at least one of the sensor's image colors from the raw image data. The luminance image and chrominance image(s) can represent the same range of colors able to be represented in the raw image data. The chrominance image can have a lower resolution than that of the luminance image. A camera for performing the method is also disclosed.

Abstract: A method of processing image data that is represented in a frequency domain includes the step of applying a noise signal to the image data to yield noise-applied image data. In at least one embodiment, the image data includes one or more sets of coefficients arising from application of a discrete cosine transform, each set of coefficients comprising a DC coefficient and one or more AC coefficients. The noise signal is applied to the image data by modifying one or more of the coefficients in one or more of the sets. The modifying includes replacing one or more of the AC coefficients with random or pseudo random numbers having a distribution. Noise present in the image data may be equalized, prior to the step of applying the noise signal.

Abstract: The disclosure relates to a filter array and to a method for processing image data in a camera. The camera is configured to receive light and generate image data using an image sensor having an associated filter array. The image sensor includes an array of pixels, each of which corresponds to a filter element in the filter array, so that each pixel has a spectral response at least partly defined by a corresponding filter element. The filter array includes a pattern of wideband filter elements and at least two types of narrowband filter elements. The method includes the step of generating a luminance image comprising a wideband filter element value that is calculated for each pixel of the image sensor.

Abstract: A camera including an image capture module, and at least one other module. The image capture module is a sealed module and includes: a housing; at least one image sensor to convert light into electrical signals; an optical system associated with the image sensor and arranged to transmit light through the housing to the at least one image sensor; the image capture module and the at least one other module being directly or indirectly mounted to each other, and interoperable with each other to capture images. An image capture module and method of construction of a camera are also described.

Abstract: Processing raw image data in a camera includes computing a luminance image from the raw image data, and computing a chrominance image corresponding to at least one of the sensor's image colors from the raw image data. The luminance image and chrominance image(s) can represent the same range of colors able to be represented in the raw image data. The chrominance image can have a lower resolution than that of the luminance image. A camera for performing the method is also disclosed.

Abstract: A camera including an image capture module, and at least one other module. The image capture module is a sealed module and includes: a housing; at least one image sensor to convert light into electrical signals; an optical system associated with the image sensor and arranged to transmit light through the housing to the at least one image sensor; the image capture module and the at least one other module being directly or indirectly mounted to each other, and interoperable with each other to capture images. An image capture module and method of construction of a camera are also described.

Abstract: A camera including an image capture module, and at least one other module. The image capture module is a sealed module and includes: a housing; at least one image sensor to convert light into electrical signals; an optical system associated with the image sensor and arranged to transmit light through the housing to the at least one image sensor; the image capture module and the at least one other module being directly or indirectly mounted to each other, and interoperable with each other to capture images. An image capture module and method of construction of a camera are also described.

Abstract: A camera including an image capture module, and at least one other module. The image capture module is a sealed module and includes: a housing; at least one image sensor to convert light into electrical signals; an optical system associated with the image sensor and arranged to transmit light through the housing to the at least one image sensor; the image capture module and the at least one other module being directly or indirectly mounted to each other, and interoperable with each other to capture images. An image capture module and method of construction of a camera are also described.