Abstract: The invention provides a internet hosted system to find, compare, contrast and identify similar characteristics among two or more individuals or objects using a digital camera, cellular telephone camera, wireless device for the purpose of returning information regarding similar objects or faces to the user The system features classification of images from a variety of Internet accessible sources, including mobile phones, wireless camera-enabled devices, images obtained from digital cameras or scanners that are uploaded from PCs, third-party applications and databases. Once classified, the matching person's name, or the matching object, image and associated meta-data is sent back to the user. The image may be manipulated to emphasize similar characteristics between the received facial image and the matching facial image. The meta-data sent down with the image may include sponsored links and advertisements.

Abstract: Contents of manual retouching performed on a portion of an input image are reflected to the entire portion of the image. Weighting parameters, each representing pre- and post-retouching state of a manually retouched area of a predetermined structure in a retouching target image, and pre-retouching state of the entire portion of the structure, are obtained by applying the area in pre- and post-retouching state, and the entire portion of the structure in pre-retouching state to a model that represents at least the shape of the area or the entire portion of the structure. Then, a parameter representing the entire portion of the structure after the contents of the manual retouching are reflected to the entire portion of the structure is determined based on the obtained weighting parameters, and an image of entirely reconstructed structure is generated based on the determined parameter and the model.

Abstract: Methods and system for transferring images between devices are disclosed. For example, differently scaled images by a host device may automatically and/or selectively be transferred to a media player for display. In turn, appropriately scaled images may be transferred automatically and/or selectively to another display device for example a TV, camera or printer. The selectivity may occur either at the host level or at the player level.

Abstract: In some embodiments, the present invention relates to methods or suppressing edge ringing in images. For example, in some embodiments a method of processing an image to suppress ringing and broadened edges induced by image correction processing, includes high-pass filtering a first image to obtain a second image, processing said second image including applying non-linear apodization to said second image to obtain a third image, low-pass filtering said first image to obtain a fourth image, and combining the third image and the fourth image to obtain an output image, wherein the output image is characterized by having reduced edge-response sidelobes as compared to the first images. In some embodiments, the present invention relates to devices comprising means and/or modules to suppress edge ringing in images.

Abstract: Certain aspects can relate to obtaining at least some input compensating information at least partially based on the distortion characterizing imaging information that when applied to an imaging modality used to obtain the at least one image information can limit distortions to the at least the portion of the at least one image information resulting from at least a portion of at least one distorting feature, wherein the at least some input compensating information is characterized based at least in part on the at least one relative orientation of the at least the portion of the at least one distorting feature relative to the at least one image information.

Abstract: Printing systems and methods are presented for image background and neutral adjustment of luminance-chrominance pixel values corresponding to a scanned image, in which white and black pixels are identified which have luminance values close to whitepoint and blackpoint values for the image, and which have chrominance values close to the chrominance neutral point. The chrominance values of these identified white and black pixels are selectively reduced based at least partially on proximity to the chrominance neutral point and chrominance of one or more neighboring pixels.

Abstract: Systems and methods for aligning objects in object sets are provided. An object set has objects that are in a corresponding image in a plurality of images. For each respective object in a first object set, a corresponding object group is constructed that contains the respective object, thereby constructing a plurality of object groups. Similarity metrics are computed between object groups and objects in objects sets in order to assign the objects to object groups. The object groups are then refined in order to align objects in the object sets.

Abstract: A high-resolution remote sensing image is processed through a true ortho-rectification. A totally new idea of H-buffer is provided to store heights of objects on the ground. The ortho-rectification includes a hidden analysis, a hidden detection and a hidden compensation. The process uses polygon patch of a building or a roadway as process unit. In the end, seam lines after hidden compensation are smoothed. The whole process time is reduced in calculations, assures quality of the orthoimage, and meets a requirement of a high-accuracy and high-resolution digital mapping.

Abstract: An image conversion device according to an example of the invention comprises a blur estimating unit which estimates a blur state of input image data, a blur changing unit which changes the blur state estimated by the blur estimating unit into an arbitrary blur state, and an image constructing unit which constructs output image data on the basis of a blur changing result obtained by the blur changing unit.

Abstract: The present invention provides methods, systems and machine readable medium including machine readable code for deblurring data corrupted by shift variant blurring. A first version of data having shift variant blurring characterized by a first shift variant point spread function is provided. A target shift invariant point spread function is selected. A second shift variant point spread function is derived wherein a combination of the first and second shift variant point spread functions generates the target shift invariant point spread function. The second shift variant point spread function is applied to the first version of the data thereby generating a second version of the data having shift invariant blurring characterized by the target shift invariant point spread function. A linear shift invariant filter is applied to the second version of the data thereby generating a deblurred version of the data.

Abstract: The first values of position and orientation of an image sensing device are obtained by using positions of all indices in a frame image. Indices having the same inherent information between a first index group (FIG) in the frame image and a second index group (SIG) in a preceding frame image are detected as a common index. If the information of the SIG contains information different from that of the FIG, second values of the position and orientation are obtained by using the positions of the common indices in the preceding frame image. If the information of the FIG contains information different from that of the SIG, third values of the position and orientation are obtained by using the positions of the common indices in the frame image. The first values are corrected by using correction values based on the obtained first to third values.

Abstract: According to one disclosed method, coordinates in a multi-dimensional space are determined for an image point characterizing a particular object. An equation describing a model in the multi-dimensional space is provided. The model is characteristic of a set of training images of one or more other objects. The coordinates are applied to the equation to determine a distance between the image point and the model. Based on the determined distance, a determination is made as to whether the particular object matches the one or more other objects. A set of training images may be received. A multi-dimensional space (e.g., eigenspace) may be determined based on the set of training images. A set of training points may be generated by projecting the set of training images into the multi-dimensional space. An equation describing a model in the multi-dimensional space that is characteristic of the set of training points may be determined.

Abstract: Disclosed is a method for registering images of an object according to which a landmark that is common to the images is first identified, and the transformations in relation to the remaining degrees of freedom are determined by means of a position alignment that is not based on the landmark.

Abstract: Even when a CPU gains higher performance and a distributed computing environment is being put in place, it is not easy to follow the speed of hardware image processing implemented by dedicated hardware. Hence, jobs of filter processing having a heavy operation load and low distributability are selectively and intensively input to a small number of resources having performance as high as possible. On the other hand, since the color conversion processing and gamma processing have high distributability, even when jobs are input to many resources having low performance, an improvement of the processing speed can be expected. Therefor, color conversion processing and gamma processing distribute jobs to many resources.

Abstract: A method filters an input image to produce an output image. A bilateral filter is composed of a spatial filter and a range filter. Pixel intensities in the input image are multiplied by each other to produce the set of power images, which approximate the application of the range filter. The spatial filter is applied to the set of power image to determine responses, and the responses are combined on a pixel-by-pixel basis to produce a bilaterally filtered output image.

Abstract: Various embodiments include an apparatus comprising a first image database, the first image database to store at least one first image file, wherein the at least one first image file includes a product image file including a digital photograph of a physical product and a header including a size and an imprint area for the physical product, a second image database, the second image database to store at least one second image file, and a server to receive a user selection of the at least one first image file and the at least one second image file, and to generate a composite image of a first image and a second image, wherein the first image includes the digital photograph of the physical product and the second image is positioned relative to the first image based on the size and the imprint area included in the header of the first product image file.

Abstract: A method, system, and computer-readable storage medium are disclosed for editing a digital image with automatic conversion of region modalities. Input comprising an instruction to perform an operation on a first portion of the digital image may be received. The first portion of the digital image may comprise data defined by a first region modality. The operation may be applicable to data defined by a second region modality. In response to receiving the input, the first portion of the digital image may be automatically converted from the first region modality to the second region modality. The operation may be automatically performed on the converted first portion of the digital image (i.e., as defined by the second region modality).

Abstract: A method and system for matching an unknown facial image of an individual with an image of an unknown twin using facial recognition techniques and human perception is disclosed herein. The invention provides a internet hosted system to find, compare, contrast and identify similar characteristics among two or more individuals using a digital camera, cellular telephone camera, wireless device for the purpose of returning information regarding similar faces to the user The system features classification of unknown facial images from a variety of internet accessible sources, including mobile phones, wireless camera-enabled devices, images obtained from digital cameras or scanners that are uploaded from PCs, third-party applications and databases. The method and system uses human perception techniques to weight the feature vectors.

Abstract: A semiconductor inspection tool comprises an edge top camera for obtaining images of a top edge of a wafer, an edge normal camera for obtaining images of a normal edge of the wafer, and a controller for receiving the images of the top edge of the wafer and the images of the normal edge of the wafer and for analyzing the images of the top edge of the wafer and the images of the normal edge of the wafer for wafer edge defects.

Abstract: Systems, methods, and apparatus, including computer program products, are provided for forming composite images. In some implementations, a method is provided. The method includes receiving a set of component images for forming a composite image, defining a projection for the set of images transforming each component image into a projected component image, and rendering the projected component images to form the composite image. The rendering of each component image includes decomposing a rotation of the projection into separate rotations for each axis, rotating the component image along a first axis, separately identifying pixel values for each row and each column of the projected component image, and rotating the image along a third axis to form a rendered component image.