Abstract: A frequency detection device for a clock signal and a detection method thereof are provided. The frequency detection device includes a pulse signal generator, a sampling signal generator, a delay device, and a sampling circuit. The pulse signal generator detects a plurality of transition edges of the clock signal and generates a pulse signal according to the transition edges of the clock signal. The sampling signal generator generates a sampling signal based on a command signal according to pluses of the pulse signal. The delay device delays the command signal to generate a delayed command signal. The sampling circuit samples the delayed command signal according to the sampling signal to generate a detection result.

Abstract: Signal processing devices and methods estimate a geometric transform of an image. One method measures correlation between a transformed reference signal component and an image, updates, based on the measured correlation that is below a threshold, coordinates of the reference signal component to a location within a neighborhood around the coordinates of the transformed reference signal component; determines a new geometric transform that transforms the reference signal components to updated coordinates; and applies the new geometric transform to extract encoded digital data from the image.

Abstract: A system that incorporates the subject disclosure may include, for example, a processor that performs operations including receiving an actuation profile comprising one or more actuation thresholds responsive to a detection of a triggering event during a gaming session of a video game, configuring the sensor according to the one or more actuation thresholds, receiving, from the sensor, a signal indicating a depression range of the button, comparing the depression range to the one or more actuation thresholds of the actuation profile, and generating an actuation state when the depression range exceeds an actuation threshold of the one or more actuation thresholds. Additional embodiments are disclosed.

Abstract: There are described data system (200), devices and methods for use with well infrastructure (100). For example, such well infrastructure (100) may include oil and gas well structures, pipeline structures, and the like (110, 120, 130). In particular, there are described data systems (200), etc., for using data associated with monitored conditions at such well infrastructure (100). Such data systems (200) may comprise a data-storage facility (210) having stored data records associated with particular well infrastructures (100) (e.g. productions wells). The data system (200) may have one or more remote sensor devices (150) (e.g. gauges or distributed sensors) configured to monitor conditions at particular well infrastructures (100), and to collect condition data corresponding to those conditions.

Abstract: A method for improving the signal to noise ratio of an EEG signal in which a wavelet packet decomposition having a plurality of levels is first applied to a time slice of the EEG signal. A default signal is set to the first wavelet packet and a default peak response is then calculated for the first wavelet node. An update signal is set to the default signal combined with another of the wavelet nodes and an update peak response signal is then calculated of the update signal. If the update peak response signal exceeds the default peak response, the default peak response is set equal to the update peak response and the default signal is set equal to the update signal. Otherwise, the value of the current node is set to zero which effectively eliminates the signal data of the current wavelet node. These steps are reiterated for all of the wavelet nodes and, thereafter, a composite waveform of the EEG signal is reconstructed from the non-zero wavelet nodes.

Abstract: Weighted population code in neuromorphic systems is provided. According to an embodiment, a plurality of input values is received. For each of the plurality of values, a plurality of spikes is generated. Each of the plurality of spikes has an associated weight. A consumption time is determined for each of the plurality of spikes. Each of the plurality of spikes is sent for consumption at its consumption time.

Abstract: In order to provide a pattern-measuring device and a computer program that quantitatively evaluate the effects brought about by the presence of pattern deformations in a circuit, this invention proposes a pattern-measuring device that measures first distances between first edges in pattern data being measured and second edges that correspond to said first edges in a benchmark pattern that corresponds to the pattern being measured. Said pattern-measuring device computes a score for the first edges or the pattern being measured on the basis of the first distances and second distances between the first edges and/or the second edges and third edges that are adjacent to but different from the first and second edges.

Abstract: Signal processing devices and methods estimate a geometric transform of an image signal. From a seed set of transform candidates, a method applies a seed transform candidate to a reference signal. For each candidate, update coordinates of reference signal features are identified in the image signal and provided as input to a least squares method to compute an update to the transform candidate. At the end of the process, the method identifies a geometric transform or set of top transforms based on a further analysis of correlation, as well as other results. Phase characteristics are exploited in the process of updating coordinates. The geometric transform is used to facilitate extracting embedded digital messages from the image.

Abstract: An image identification method, an electronic device with image identification function and a computer program product executing the image identification method with a software program are provided. The image identification method comprises steps of: proceeding texture feature extraction on a color source image to obtain a plurality of texture parameters; proceeding color feature extraction on a color source image to obtain a plurality of color momentums; and weighting the plurality of texture parameters and the plurality of color momentums to obtain an image identification parameter corresponding to the color source image.

Abstract: Eye tracking for the purpose of detecting attendee disengagement with respect to a presentation including a visual display communicated over a network. The eye tracking method includes: during a play of the presentation, tracking eye positions of a set of control party(ies); during a play of the presentation, tracking eye positions of a set of non-control party(ies); determining a set of divergence value(s) corresponding to divergence between the eye position(s) of the control party(ies) and the non-control party(ies); and determining a disengagement value corresponding to relative disengagement of the non-control party(ies) based, at least in part on the set of divergence value(s).

Abstract: An image identification method, an electronic device with image identification function and a computer program product executing the image identification method with a software program are provided. The image identification method comprises steps of: proceeding texture feature extraction on a color source image to obtain a plurality of texture parameters; proceeding color feature extraction on a color source image to obtain a plurality of color momentums; and weighting the plurality of texture parameters and the plurality of color momentums to obtain an image identification parameter corresponding to the color source image.

Abstract: Certain embodiments enable image-based stimulus for circuit simulations by extracting a waveform from an image and using that waveform to simulate a circuit. Image-processing aspects may include edge-detection processes to identify a boundary of the waveform in the image.

Abstract: A time domain signal analysis method is provided. The signal analysis method includes the following steps. A signal to be analyzed is received. The signal to be analyzed is iteratively sifted by using Empirical Mode Decomposition (EMD) to extract at least one intrinsic function (IMF). A normalized Hilbert transform is performed on the IMF. The transformed IMF includes phase information. The transformed IMF is processed by means of phase processing to obtain the processed IMF including angular frequency information. The foregoing signal analysis method could be utilized in an ultrasound imaging system to identify image information of ultrasound images.

Abstract: A system and method for authenticating a radio-frequency identification tags based on the features of the modulation features of the RFID signal. Dynamic wavelet fingerprint features are extracted from the signal by applying a wavelet transform to the signal to determine wavelet coefficients at a plurality of times and frequency scale values, creating a binary image from the wavelet coefficients, and measuring image features of at least one fingerprint object in the binary image. The measured features of the binary image fingerprint objects are compared to a database of features for the signal's EPC to authenticate the RFID tag.

Abstract: Methods, storage mediums and systems (MS&S) are provided which successively image an imaging region of an assay analysis system (AAS) as particles are loaded into the imaging region, generate a frequency spectrum of each image via a discrete Fourier transform, integrate a same coordinate portion of each frequency spectrum and terminate the loading of particles upon computing an integral which meets preset criterion. In addition, MS&S are provided which send a signal indicative of whether enough particles are in an imaging region for further processes by an AAS based on the magnitude of integral calculated from an image's frequency spectrum. MM&S are also provided such that the steps of generating a frequency spectrum of each image and integrating a portion of each frequency spectrum are replaced by generating a convolved spatial image with a filter kernel and integrating a same coordinate portion of each convolved spatial image.

Abstract: The disclosure concerns hyperspectral and multispectral image. The disclosure concerns the computation of a descriptor for such an image. The descriptor can be used in a range of image post-processing applications, such as classification, recognition, tracking and localization. Aspects of the invention include a computer implemented method and a computer system. To computer the descriptor for a set of wavelength indexed bands, a band representation of the radiance measurements for that band based on a probability distribution function is computed 300. Then a wavelength-dependent cross-correlation between the band representations is computed 302. Finally, a descriptor based on the computed cross-correlation between the band representations is computed 304. It is an advantage that the descriptor captures a discriminative and descriptive representation of scene captured in the hyperspectral or multispectral image.

Abstract: Disclosed is a picture quality evaluation method that evaluates the quality of a second image based on alternating current component measurements for a pixel set in a first image and alternating current component measurements for a pixel set in a second image in the same location as the pixel set in the first image.

Abstract: Methods and computer-readable mediums are provided. In one embodiment, the method acquires patient data. The peak value in the patient data is determined. The patient data is divided into two data segments (i.e., one data segment representing the data before the peak value occurs and a second data segment representing the patient data after the peak occurs). The slopes of the first and second data segments are calculated. Thereafter the slopes are used to determine an appropriate adaptive framing protocol. A number of frames and duration of each frame in the adaptive framing protocol can be calculated or the adaptive framing protocol can be selected from a plurality of framing protocols. Embodiments of the invention also include computer-readable mediums that contain features similar to the features in the above described method.

Abstract: A method and system for image suppression and digital-to-analog conversion (DAC) of a radio frequency (RF) signal is disclosed. In one embodiment, a digital input signal having undesired image spectra is input to two paths. In one path, the digital input signal is phase shifted so that an output of each path are out of phase by substantially 180 degrees at a frequency of the undesired image spectra, so that the undesired image spectra are substantially suppressed.

Abstract: A method to determine the location of a robot using an omni-directional image, the method including acquiring an omni-directional image from a robot, extracting a predetermined current line from the acquired omni-directional image, calculating a correlation coefficient between the extracted current line of the robot and each landmark line of pre-stored nodes using a Fast Fourier Transform (FFT), and performing a stochastic approach method of a particle filtering process on a basis of the calculated correlation coefficient to recognize a location of the robot.

Abstract: According to embodiments, systems, devices, and methods for ridge selection in scalograms are disclosed. Ridges or ridge components are features within a scalogram which may be computed from a signal such as a physiological (e.g., photoplethysmographic) signal. Ridges may be identified from one or more scalograms of the signal. Parameters characterizing these ridges may be determined. Based at least in part on these parameters, a ridge density distribution function is determined. A ridge is selected from analyzing this ridge density distribution function. In some embodiments, the selected ridge is used to determine a physiological parameter such as respiration rate.

Abstract: In a method and apparatus for difference measurement of an image, the image is detected by an image sensor array having (N×N) sensor elements, wherein N=2n, n?2, and n being an integer number, each detected sample value is read as a positive or as a negative sample value according to a sign control pattern from a pattern control unit, and measurement values are generated for measurement template blocks of the image sensor array by a computing unit which computes for each measurement template block a weighted sum of the read sample values of the respective measurement template sensor elements depending on a predetermined measurement template. A measurement template block is, provided for at least four adjacent sensor elements of the image sensor array. The method/apparatus can be used in any kind of digital camera and allows for a fast generation of image data with a hardware implementation of low complexity.

Abstract: An X-ray CT apparatus that can efficiently set a scanning condition in a scanning operation of a periodically moving internal organ such as a heart or the like is provided. The X-ray CT apparatus collects electrocardiographic information by using a periodic motion measuring device 6 (S1). Subsequently, an operator input a time resolution rate corresponding to time resolution expected in a target examination (S2). Subsequently, the X-ray CT apparatus calculates a scanning condition under which the input time resolution rate can be implemented (S3). Subsequently, the X-ray CT apparatus images a heart under the scanning condition calculated in S3 (S4). Subsequently, the X-ray CT apparatus reconstructs an electrocardiographic-synchronous image by using the scanning data obtained in S4 and the electrocardiographic information (S5). Subsequently, the X-ray CT apparatus displays the electrocardiographic-synchronous image reconstructed in S5 on a display device 5 (S6).

Abstract: Disclosed herein are systems, methods, and non-transitory computer-readable storage media for radio phase retrieval. A system practicing the method gathers first data from radio waves associated with an object observed via a first aperture, gathers second data from radio waves associated with the object observed via an introduced second aperture associated with the first aperture, generates reduced noise data by incoherently subtracting the second data from the first data, and performs phase retrieval for the radio waves by modeling the reduced noise data using a single Fourier transform. The first and second apertures are at different positions, such as side by side. This approach can include determining a value Q which represents a ratio of wavelength times a focal ratio divided by pixel spacing. This information can be used to accurately measure and correct alignment errors or other optical system flaws in the apertures.

Abstract: A plurality of images (I, J) of an object (M) when viewed from different viewpoints are taken in. One of the images is set as a standard image (I), and the other image is set as a reference image (J). One-dimensional pixel data strings with a predetermined width (W) are cut out from the standard image (I) and the reference image (J) along epipolar lines (EP1, EP2) calculated from a camera parameter (CPR) and the reference point (p). Calculating a phase-only correlation function from the cut one-dimensional pixel data strings will obtain a correlation peak position (Pa1). A positional shift amount (d) from the correlation peak position (Pa1) is obtained. A search is made for a corresponding point (q) corresponding to the reference point (p) based on this position shift amount (d).

Abstract: An information processing apparatus includes a first classification unit configured to set each of pixels forming a first image as a pixel of interest and classify the pixels of interest into one of a plurality of provided classes of a first type in accordance with a predetermined rule; a feature amount generation unit configured to generate a shifted waveform whose phase is shifted with respect to a waveform of the first image containing the pixels of interest and configured to generate a feature amount; a second classification unit configured to be provided with a plurality of classes of a second type in accordance with the feature amount for each of the plurality of classes of the first type and configured to classify the pixels of interest; and a prediction calculation unit configured to predictively calculate pixels forming a second image.

Abstract: According to embodiments, systems, devices, and methods for ridge selection in scalograms are disclosed. Ridges or ridge components are features within a scalogram which may be computed from a signal such as a physiological (e.g., photoplethysmographic) signal. Ridges may be identified from one or more scalograms of the signal. Parameters characterizing these ridges may be determined. Based at least in part on these parameters, a ridge density distribution function is determined. A ridge is selected from analyzing this ridge density distribution function. In some embodiments, the selected ridge is used to determine a physiological parameter such as respiration rate.

Abstract: Methods and computer-readable mediums are provided. In one embodiment, the method acquires patient data. The peak value in the patient data is determined. The patient data is divided into two data segments (i.e., one data segment representing the data before the peak value occurs and a second data segment representing the patient data after the peak occurs). The slopes of the first and second data segments are calculated. Thereafter the slopes are used to determine an appropriate adaptive framing protocol. A number of frames and duration of each frame in the adaptive framing protocol can be calculated or the adaptive framing protocol can be selected from a plurality of framing protocols. Embodiments of the invention also include computer-readable mediums that contain features similar to the features in the above described method.

Abstract: A façade rendering system is described. In various embodiments, the façade rendering system identifies horizontal waveforms and vertical waveforms from an image of a structure, combines the identified horizontal and vertical waveforms to generate façade waveforms that model a façade of the structure, and renders the façade waveforms as a façade for the structure. The façade rendering system can include or employ information about the structure from which to create waveform information, waveform information to create a façade waveform for modeling the structure, and a component that renders the structure based on the waveform information.

Abstract: A computer implemented signal processing method to perform a cross-calculation between a first and a second signal by performing a cross-correlation for segments of said first signal with said second signal to obtain a plurality of partial cross correlation functions, obtaining a combined cross-correlation function by combining said partial cross-correlation functions to obtain a combined cross-correlation function, applying an outlier detection or outlier removal approach to identify or remove those segments which are disturbed or corrupted, and re-combining said partial cross-correlation functions without the ones which have been identified as disturbed or corrupted to obtain a less disturbed or less corrupted final cross-correlation function.

Abstract: A moving image is divided with imaging timing aligned without using a synchronous input. A moving image pickup apparatus to pick up a moving image of one or more objects as an imaging target includes an image obtaining unit for obtaining an input moving image composed of a plurality of frames containing a scene of the object making a periodic motion, a representative image selecting unit for selecting a representative image representing a cycle, a standard timing selecting unit for selecting a standard timing based on the representative image, in order to divide the input moving image obtained by the image obtaining unit with respect to each cycle, and a cycle extracting unit for dividing the input moving image with respect to each cycle, based on the standard timing selected by the standard timing selecting unit.

Abstract: A digital differential steganographic system and method includes a master key that is generated from an unmarked media, a mark-point reservoir created from the unmarked media and containing a set of viable candidate mark points for the unmarked media, and a mark-point applicator to insert data into the unmarked media at selected mark-points chosen from the mark-point reservoir creating a digital watermark. The method includes using an original unmarked media, shaping and testing marks in the original media for predictable distortion, verifying embedded marks at point of insertion in the original media, minimizing mark energy and duration for least-perceptible change, and using non-distributed, unmarked media of the original media as a master key.

Abstract: Disclosed herein are systems, methods, and non-transitory computer-readable storage media for determining phase of an optical system. A system practicing the method performs an analysis of image data of a distant object, wherein the image data is received via an optical system. The system derives at least one parameter of the optical system based on the analysis, and retrieves a phase of the optical system based on the at least one parameter. The parameter can be a ratio Q representing a ration of wavelength times a focal ratio divided by pixel spacing. The image data can be a series of still images. The analysis of the image data can be based on a user input indicating, for example, a position and/or a region in the image data. The image data can be in focus and/or out of focus. In one aspect, slightly out of focus image data is more informative.

Abstract: Systems and methods for descriptor vector computation are described herein. An embodiment includes (a) identifying a plurality of regions in the digital image; (b) normalizing the regions using at least a similarity or affine transform such that the normalized regions have the same orientation and size as a pre-determined reference region; (c) generating one or more wavelets using dimensions of the reference region; (d) generating one or more dot products between each of the one or more wavelets, respectively, and the normalized regions; (e) concatenating amplitudes of the one or more dot products to generate a descriptor vector; and (f) outputting a signal corresponding to the descriptor vector.

Abstract: A method and system generates and compares fingerprints for videos in a video library. The video fingerprints provide a compact representation of the spatial and sequential characteristics of the video that can be used to quickly and efficiently identify video content. Because the fingerprints are based on spatial and sequential characteristics rather than exact bit sequences, visual content of videos can be effectively compared even when there are small differences between the videos in compression factors, source resolutions, start and stop times, frame rates, and so on. Comparison of video fingerprints can be used, for example, to search for and remove copyright protected videos from a video library. Further, duplicate videos can be detected and discarded in order to preserve storage space.

Abstract: A wavefront measuring method includes steps of: obtaining a first transmitted-wavefront from a first image formed by transmitting beam through a substance at a first angle; obtaining a second image formed by transmitting the beam through the substance at a second angle; formulating a mask corresponding to an interference degree of the second image; converting the first transmitted-wavefront to match with a temporary second transmitted-wavefront from the second image; and unwrapping from the second image, the mask, and a converted first transmitted-wavefront to obtain a second transmitted-wavefront by transmitting the beam through the substance at the second angle.

Abstract: Brain waves are used as a biometric parameter to provide for authentication and identification of personnel. The brain waves are sampled using EEG equipment and are processed using phase-space distribution functions to compare digital signature data from enrollment of authorized individuals to data taken from a test subject to determine if the data from the test subject matches the signature data to a degree to support positive identification.

Abstract: The invention provides an image recognition method. First, it is judged whether a set of discrete cosine transform (DCT) coefficients corresponding to an image and/or a set of texture parameters corresponding to the DCT coefficients exist. If the judgment is no, the image is selectively performed a DCT or an inverse discrete cosine transform (IDCT) to generate the set of DCT coefficients based on a format of the image. Based on the set of DCT coefficients, the set of texture parameters is then generated. Afterward, the set of texture parameters is compared with a set of target texture parameters to generate a recognition result.

Abstract: A realtime display compression for a waveform image uses a priority basis for combining groups of pixels when producing a compressed waveform image in order to preserve intensity information. As an example successive lines of data for the waveform image are demultiplexed into line buffers in a circulating manner, the number of line buffers being a function of the maximum desired integer compression ratio. The outputs from the line buffers are aligned and the corresponding pixels are combined according to a desired compression ratio, one output line for each integer compression ratio. The appropriate compressed line is selected as the output line according to the desired compression ratio, with the totality of the output lines forming the compressed waveform image.

Abstract: Architecture that facilitates validation of a data mapping of data from a data source to a data target. There is included a signature generation component that generates a source signature of all or a portion of the data source and a target signature of all or a corresponding portion of the data target, and a sampling component that obtains a sample of the source data a corresponding sample of the target data. The data signatures and data samples are compared respectively and processed with a processing component to determine the status of the validation process.

Abstract: Computer graphics may be detected in digital images by extracting a first set of features from an input digital image, extracting a second set of features from a prediction-error image derived from the input digital image, and applying a classification algorithm to the first set of features and the second set of features to determine if the combined sets of features indicate that the input digital image corresponds to computer graphics.

Abstract: A method for processing backwards documents in a document processing system involves a reverse recognition algorithm. The document processing system includes a magnetic ink character recognition (MICR) reader. A waveform is determined for a magnetic ink character string on a document. A forward recognition algorithm is applied to compare the determined waveform to a set of known character profiles. In a case where the magnetic ink character string remains unrecognized after application of the forward recognition algorithm, a reverse recognition algorithm is applied to compare the determined waveform to the set of known character profiles. The reverse recognition algorithm considers the determined waveform as resulting from the document being oriented backwards when passing though the magnetic ink character recognition reader when comparing the waveform to the set of known character profiles.

Abstract: A method for linking front and rear images in a document processing system involves linking the front and rear images by a magnetic ink character code line. The document processing system includes an imaging device and a magnetic ink character recognition (MICR) reader. The method comprises capturing a first image and first MICR waveform for the front side of the document, and capturing a second image and second MICR waveform for the rear side of the document. A forward recognition algorithm is applied to the first waveform to produce a first code line. A reverse recognition algorithm is applied to the second waveform to produce a second code line. The reverse recognition algorithm considers the second waveform as resulting from the document being read from the rear side of the document when processing the second waveform.

Abstract: A system allows greater dynamic range in fixed-width sample representations of waveforms. Known properties of the waveform are used to determine an unlikely, or impossible, data condition to be used as an exception condition. In a preferred embodiment that is directed to processing of audio waveforms, a first large value transitioning to a second large value of different sign is used to indicate an exception condition. Samples following the exception condition are assumed to be shifted by a predetermined amount so that their representation within the allowable dynamic range of the word results in an extended dynamic range. In a preferred embodiment, pre-processing of a waveform is used to create exception conditions and to perform “peak packing” to shift portions of the waveform that would otherwise become clipped, so that the waveform peaks reside in a shifted position within the digital representation.

Abstract: A system and method for illuminating an object in preparation for three-dimensional rendering includes a projection device configured to project at least three two-dimensional structured light patterns onto a 3-dimensional object. At least two cameras detect light reflected by the object in response to the at least three structured light patterns. Each structured light pattern varies in intensity in a first dimension and is constant in a second dimension. A single line along the first dimension of a given structured light pattern is created from a superposition of three or more component triangular waveforms. Each component triangular waveform has an amplitude, a periodicity (frequency), and a phase shift which is implemented as a pixel shift. Each component triangular waveform may be subject to one or more waveshaping operations prior to being summed with the remaining component triangular waveforms. The summed waveform itself may also be subject to waveshaping operations.

Abstract: The invention is a method of using Wavelet Transformation and Artificial Neural Network (ANN) systems for automatic detecting and classifying objects. To train the system in object recognition different images, which usually contain desired objects alongside other objects are used. These objects may appear at different angles. Different characteristics regarding the objects are extracted from the images and stored in a data bank. The system then determines the extent to which each inserted characteristic will be useful in future recognition and determines its relative weight. After the initial insertion of data, the operator tests the system with a set of new images, some of which contain the class objects and some of which contain similar and/or dissimilar objects of different classification.

Abstract: A method is provided for reliably determining anatomical properties of a tree having a plurality of growth rings spaced from each other in a radial direction. The method involves preparing a sample from a tree to be analyzed, and preparing an image of the sample at a resolution sufficient to analyze at least one of the earlywood and latewood portions of one or more rings. The image is used to determine at least one anatomical property of the sample based on the image, the anatomical property being selected from the group consisting of sample density, tracheid wall thickness, and tracheid exterior dimension.

Abstract: According to one embodiment, a method comprises producing a first hyperspectral imaging (HSI) data cube of a location at a first time using data from a HSI sensor; producing a second HSI data cube of the same location at a second time using data from the HSI sensor; subtracting on a pixel-by-pixel basis the second HSI data cube from the first HSI data cube to produce a raw difference cube; calibrating the raw difference cube to produce a calibrated raw difference cube; selecting at least one desired spectral band based on a gas of interest; producing a detection image based on the at least one selected spectral band and the calibrated raw difference cube; examining the detection image to determine presence of the gas of interest; and outputting a result of the examination. Other methods, systems, and computer program products for detecting the presence of a gas are also described.

Abstract: A method of displaying a time sequence of 2-dimensional data represents each data set in the time sequence as a normalized figure based upon a reference set of data. The perimeter of the normalized figure is color coded to represent deviations from a data standard that corresponds to the 2-dimensional data. For subsequent data sets in the time sequence each normalized figure is sized to form a series of concentric figures for display representing all the data sets in the time sequence so that patterns of both rotational and magnitude changes are visually apparent.

Abstract: Disclosed is a picture quality evaluation method that evaluates the quality of a second image based on alternating current component measurements for a pixel set in a first image and alternating current component measurements for a pixel set in a second image in the same location as the pixel set in the first image.