Fabio Riccardi

Techniques for de-noising a digital image using a multi-band noise filter and a unique combination of texture and chroma metrics are described. A novel texture metric may be used during multi-band filter operations on an image's luma channel to determine if a given pixel is associated with a textured/smooth region of the image. A novel chroma metric may be used during the the same multi-band filter operation to determine if the same pixel is associated with a blue/not-blue region of the image… Show more

Techniques for de-noising a digital image using a multi-band noise filter and a unique combination of texture and chroma metrics are described. A novel texture metric may be used during multi-band filter operations on an image's luma channel to determine if a given pixel is associated with a textured/smooth region of the image. A novel chroma metric may be used during the the same multi-band filter operation to determine if the same pixel is associated with a blue/not-blue region of the image. Pixels identified as being associated with a smooth blue region may be aggressively de-noised and conservatively sharpened. Pixels identified as being associated with a textured blue region may be conservatively de-noised and aggressively sharpened. By coupling texture and chroma constraints it has been shown possible to mitigate noise in an image's smooth blue regions without affecting the edges/texture in other blue objects. Show less

Image enhancement is achieved by separating image signals, e.g. YCbCr image signals, into a series of frequency bands and performing locally-adaptive noise reduction on bands below a given frequency but not on bands above that frequency. The bands are summed to develop the image enhanced signals. The YCbCr, multi-band locally-adaptive approach to denoising is able to operate independently—and in an optimized fashion—on both luma and chroma channels. Noise reduction is done based on models… Show more

Image enhancement is achieved by separating image signals, e.g. YCbCr image signals, into a series of frequency bands and performing locally-adaptive noise reduction on bands below a given frequency but not on bands above that frequency. The bands are summed to develop the image enhanced signals. The YCbCr, multi-band locally-adaptive approach to denoising is able to operate independently—and in an optimized fashion—on both luma and chroma channels. Noise reduction is done based on models developed for both luma and chroma channels by measurements taken for multiple frequency bands, in multiple patches on the ColorChecker chart, and at multiple gain levels, in order to develop a simple yet robust set of models that may be tuned off-line a single time for each camera and then applied to images taken by such cameras in real-time without excessive processing requirements and with satisfactory results across illuminant types and lighting conditions. Show less

Systems, methods, and computer readable media to capture and process high dynamic range (HDR) images when appropriate for a scene are disclosed. When appropriate, multiple images at a single—slightly underexposed—exposure value are captured (making a constant bracket HDR capture sequence) and local tone mapping (LTM) applied to each image. Local tone map and histogram information can be used to generate a noise-amplification mask which can be used during fusion operations. Images obtained and… Show more

Systems, methods, and computer readable media to capture and process high dynamic range (HDR) images when appropriate for a scene are disclosed. When appropriate, multiple images at a single—slightly underexposed—exposure value are captured (making a constant bracket HDR capture sequence) and local tone mapping (LTM) applied to each image. Local tone map and histogram information can be used to generate a noise-amplification mask which can be used during fusion operations. Images obtained and fused in the disclosed manner provide high dynamic range with improved noise and de-ghosting characteristics. Show less

A method and interface for finding image intensities of an image on a computing device is provided. Finding these image intensities includes displaying an image on a display device having a range of intensities, identifying one or more regions of the image according to the intensity values in each of the one or more regions, categorizing each region as falling into one intensity zone category from a set of intensity zone categories according to the intensity value for each region and displaying… Show more

A method and interface for finding image intensities of an image on a computing device is provided. Finding these image intensities includes displaying an image on a display device having a range of intensities, identifying one or more regions of the image according to the intensity values in each of the one or more regions, categorizing each region as falling into one intensity zone category from a set of intensity zone categories according to the intensity value for each region and displaying the image on the display device with the regions and corresponding related intensity zone categories highlighted. Show less

Provided is a computer implemented method and interface for mapping image intensities on a computing device. The processing method includes displaying an image on a display device having a range of intensities, subdividing the range of intensities from the image on the display device into a set of intensity zones, associating each intensity zone with one or more segments of a graphical diagram to be displayed on a computer device and moving a partition separating the one or more segments of the… Show more

Provided is a computer implemented method and interface for mapping image intensities on a computing device. The processing method includes displaying an image on a display device having a range of intensities, subdividing the range of intensities from the image on the display device into a set of intensity zones, associating each intensity zone with one or more segments of a graphical diagram to be displayed on a computer device and moving a partition separating the one or more segments of the graphical diagram displayed on the computer device to change the intensity levels of the displayed image. Show less

The invention provides systems and methods for implementation of a computer language type system by augmenting finite state automata algorithms to accommodate symbols having both subtype relationships and nested types. To make the classical automata algorithms work for type system with subtypes, finite state automata for a data type is augmented by additional transitions that include secondary symbols, wherein secondary symbols are subtypes of symbols of alphabet of finite state automata. A… Show more

The invention provides systems and methods for implementation of a computer language type system by augmenting finite state automata algorithms to accommodate symbols having both subtype relationships and nested types. To make the classical automata algorithms work for type system with subtypes, finite state automata for a data type is augmented by additional transitions that include secondary symbols, wherein secondary symbols are subtypes of symbols of alphabet of finite state automata. A data type when compared to another data type must compare both names and the contents. Show less

Systems and methods in accordance with the present invention provide for an implementation of the XQuery standard, and such an implementation will be referred to herein as an XQuery (XML Query language) implementation. An XQuery implementation can be based on a token stream representation, which allows large XML documents to be processed without having to first read the entire document. An XQuery implementation can also utilize a streaming XQuery engine. A set of algorithms and a set of rewrite… Show more

Systems and methods in accordance with the present invention provide for an implementation of the XQuery standard, and such an implementation will be referred to herein as an XQuery (XML Query language) implementation. An XQuery implementation can be based on a token stream representation, which allows large XML documents to be processed without having to first read the entire document. An XQuery implementation can also utilize a streaming XQuery engine. A set of algorithms and a set of rewrite rules can be used for the implementation. Given a query, a set of rules can be applied to that query to transform the query into another query. Some of these rules allow the resulting query to be streamable. In other words, a query that would otherwise require an XML document to be read into memory can now be transformed into a query that can work on an XML stream. The type system of the XQuery language can be based on XML Schema, and the basic types of XML Schema can have derived types. Show less

Systems and methods in accordance with the present invention provide for an implementation of the XQuery standard, and such an implementation will be referred to herein as an XQuery (XML Query language) implementation. An XQuery implementation can be based on a token stream representation, which allows large XML documents to be processed without having to first read the entire document. An XQuery implementation can also utilize a streaming XQuery engine. A set of algorithms and a set of rewrite… Show more

Systems and methods in accordance with the present invention provide for an implementation of the XQuery standard, and such an implementation will be referred to herein as an XQuery (XML Query language) implementation. An XQuery implementation can be based on a token stream representation, which allows large XML documents to be processed without having to first read the entire document. An XQuery implementation can also utilize a streaming XQuery engine. A set of algorithms and a set of rewrite rules can be used for the implementation. Given a query, a set of rules can be applied to that query to transform the query into another query. Some of these rules allow the resulting query to be streamable. In other words, a query that would otherwise require an XML document to be read into memory can now be transformed into a query that can work on an XML stream. The type system of the XQuery language can be based on XML Schema, and the basic types of XML Schema can have derived types. Show less

The invention relates to a method of optimizing interpreted programs, in a virtual machine interpreter of a bytecode-based language, comprising means for dynamically reconfiguring said virtual machine with macro operation codes by replacing an original sequence of simple operation codes with a new sequence of said macro operation codes. The virtual machine interpreter is coded as an indirect threading interpreter thanks to a translation table containing the implementation addresses of the… Show more

The invention relates to a method of optimizing interpreted programs, in a virtual machine interpreter of a bytecode-based language, comprising means for dynamically reconfiguring said virtual machine with macro operation codes by replacing an original sequence of simple operation codes with a new sequence of said macro operation codes. The virtual machine interpreter is coded as an indirect threading interpreter thanks to a translation table containing the implementation addresses of the operation codes for translating the bytecodes into the operation code's implementation addresses. Application: embedded systems using any bytecode-based programming language, set to box for interactive video transmissions. Show less

Image enhancement is achieved by separating image signals, e.g. YCbCr image signals, into a series of frequency bands and performing noise reduction on bands below a given frequency but not on bands above that frequency. The bands are summed to develop the image enhanced signals. The YCbCr, multi-band approach to denoising is able to operate independently—and in an optimized fashion—on both luma and chroma channels. Noise reduction is done based on models developed for both luma and chroma… Show more

Image enhancement is achieved by separating image signals, e.g. YCbCr image signals, into a series of frequency bands and performing noise reduction on bands below a given frequency but not on bands above that frequency. The bands are summed to develop the image enhanced signals. The YCbCr, multi-band approach to denoising is able to operate independently—and in an optimized fashion—on both luma and chroma channels. Noise reduction is done based on models developed for both luma and chroma channels by measurements taken for multiple frequency bands, in multiple patches on the ColorChecker chart, and at multiple gain levels, in order to develop a simple yet robust set of models that may be tuned off-line a single time for each camera and then applied to images taken by such cameras in real-time without excessive processing requirements and with satisfactory results across illuminant types and lighting conditions. Show less

Systems, methods, and computer readable media to fuse digital images are described. In general, techniques are disclosed that use multi-band noise reduction techniques to represent input and reference images as pyramids. Once decomposed in this manner, images may be fused using novel low-level (noise dependent) similarity measures. In some implementations similarity measures may be based on intra-level comparisons between reference and input images. In other implementations, similarity measures… Show more

Systems, methods, and computer readable media to fuse digital images are described. In general, techniques are disclosed that use multi-band noise reduction techniques to represent input and reference images as pyramids. Once decomposed in this manner, images may be fused using novel low-level (noise dependent) similarity measures. In some implementations similarity measures may be based on intra-level comparisons between reference and input images. In other implementations, similarity measures may be based on inter-level comparisons. In still other implementations, mid-level semantic features such as black-level may be used to inform the similarity measure. In yet other implementations, high-level semantic features such as color or a specified type of region (e.g., moving, stationary, or having a face or other specified shape) may be used to inform the similarity measure. Show less