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Frequency diversity array (FDA) has been widely studied due to its nature of range-angle-dependent. However, the basic FDA generates an S-shaped range-angle coupled beampattern, which limits its application in target detection and localization. Recently, the FDA with sinusoidal frequency offset (Sin-FDA) has been proposed, which provides a narrow pencil beampattern, but at the cost of high sidelob...Show More
In the quantitative phase retrieval method based on transport of intensity equation, due to the significant amplification of low spatial frequency information caused by the Poisson reversal process, there is a problem of amplifying low-frequency noise, which leads to blurring of the final low-frequency phase results.In this paper, a new approach to the transport of intensity equation phase retriev...Show More
Display-camera communication (DCC) is one of visible light communication (VLC) techniques using an LED display and a camera. Conventional methods hide data bits by dynamically changing luminance intensity of image blocks. However, this approach still suffers from noticeable flickering artifacts. In this paper, we proposed a novel spatial frequency modulation method for display-camera communication...Show More
This study attempts to analyze and design multi-agent systems in the spatial frequency domain and demonstrates that the spatial frequency-based approach is useful for distributed spatial filtering in sensor networks. First, we take the consensus of multi-agent systems (i.e., letting the states of all agents converge to an identical value) as an example and analyze it using the concept of spatial f...Show More
Images captured in low-light conditions often suffer from insufficient luminance, detail loss, and increased noise, which negatively affects both visual quality and the performance of downstream visual tasks. Existing low-light image enhancement methods typically perform pixel-level adjustments in the spatial domain or or follow a multi-stage approach, where global adjustments are made in the freq...Show More
Spatial resolution in optical frequency domain reflectometry (OFDR) is a function of frequency sweep span. In this letter, a new method to enhance OFDR spatial resolution is proposed, by increasing the applied sweep span. The proposed method uses degenerated four wave mixing (FWM) with only a single light source, and this results in a preserved coherence length. The double sideband with suppress c...Show More
The performance of human visual functions degrades with age. For example, the visual field becomes dark owing to a decrease of the amount of light received. Moreover, objects appear to be hazy by a decrease in the contrast sensitivity. In particular, the contrast sensitivity decreases remarkably as the spatial frequency increases. In this paper, we propose an image enhancement method which consist...Show More
Recent advances in deep learning have significantly improved underwater image super-resolution (UISR) performance. However, their large and complex architectures result in huge computational complexity, making them unsuitable for low-power devices such as autonomous underwater vehicles (AUVs) and remotely operated vehicles (ROVs). In addition, current research emphasizes designing deep models to e...Show More
Besides the well-established limit of about 2 times beyond the diffraction limit, the super resolution imaging using structured illumination microscopy method also depends critically on the grating frequency used for the structured illumination patterns. The exact nature of this dependence was not well-understood. We systemically investigated the impacts of the grating frequency using numerical si...Show More
In order to increase the spatial resolution of the multispectral images, the fusion process is used that the high frequency spatial information of the panchromatic image is added to the multispectral image. In this paper, first, the panchromatic image of the histogram matching each multispectral image band and each multispectral image band interpolated to the panchromatic image scale was divided. ...Show More
In mixed-resolution multiview setups, spatially neighboring high-resolution views can be used to increase the image quality of an intermediate low-resolution camera perspective. By utilizing corresponding depth data, high-frequency information can be projected from the reference perspectives onto the image plane of the low-resolution view, creating the desired super-resolved image. In this context...Show More
In this paper, we provide some recent extensions to the scalable subband/wavelet video coder MC-EZBC. The enhanced MC-EZBC employs an adaptive motion-compensated temporal filter (MCTF) framework. Directional I-BLOCKs and overlapped block motion compensation (OBMC) further improve MCTF efficiency. A scalable motion vector coder based on CABAC is shown to improve the overall performance at low bitra...Show More
The primary requirement for developing a BCI-based foot prosthetic for the lower limb amputation is to classify foot motor imagery through brain signals of both right and left limbs. It is necessary to effectively and accurately recognize the lower limb motor imagery through Electroencephalogram (EEG) signals as quickly as possible with the best possible combination of feature extraction and class...Show More
A novel method for reducing video noise by using wavelet shrinkage in the temporal-spatial domain was devised and evaluated. In a temporal-spatial wavelet transform, static areas in a picture appear in a temporal low-frequency sub-band. In regards to this sub-band, the wavelet shrinkage can use a high threshold value in a shrinkage function and attains good noise-reduction performance. On the othe...Show More
Combing audiovisual signals across modalities can facilitate human perception when communicate with each other in a noisy environment, but robot can't realize communication with human in a complex environment. Recent studies showed that audiovisual integration effects occurred for low intensity visual inputs, and whether visual spatial frequency can influence audiovisual integration is unclear. In...Show More
Low-light image enhancement is a crucial area of research in computer vision, aimed at recovering normally exposed images from low-light images to facilitate high-level vision tasks such as target detection, tracking, and recognition. However, the convolutional neural networks commonly used in this field have a bias towards extracting low-frequency local structural features in the spatial domain, ...Show More
Speech can be recognized by multiple acoustic cues in both frequency and time domains. These acoustic cues are often thought to be redundant. One example is the low-frequency sound component below 300 Hz, which is not even transmitted by the majority of communication devices including telephones. Here, we showed that this low-frequency sound component, although unintelligible when presented alone,...Show More
We propose an analytic method to overcome the trade-off between the spatial and tonal resolution of traditional clustered dot halftones. Continuous phase modulated halftones that allow variations in screen frequency in different regions of the printed image are employed and halftone screen frequency is varied according to the frequency content of the image to be halftoned. The method, which we ter...Show More
Quality assessment of pansharpening methods is not a trivial task. The generally used indexes i.e., Q4, SAM and ERGAS require a reference image at the same resolution as the fused image. Since, this reference image is not available the quality of pansharpening algorithms is tested at degraded resolution. However, this does not provide the means to assess the quality of fused images at the desired ...Show More
For the purpose of considering the spatial-temporal characteristics (STC) of large-scale interconnected power system in the modeling, calculation, and analysis of dynamic frequency response (FR), this paper establishes a two-machine equivalent frequency response (TEFR) model and gets its closed-form solution (CFS), which can be used to analytically analysis and fast calculation. In the modeling, t...Show More
The representation of scale - position information of local features in images is discussed. A feature map is proposed on which scale information is represented in position explicitly in the same manner of position information. The result of a computer simulation to self-organize such a feature map by using a retina-like filter set in the case of one-dimensional input data is shown. This feature m...Show More
In this work, inspired by the frequency band division theory of electroencephalogram (EEG) signals, we propose the crucial frequency band convolution (CFBC) network method to explore the crucial frequency range of frequency domain features. CFBC includes two parts: spatial feature extractor and crucial frequency band selector. First, we extracted differential entropy (DE) and power spectral densit...Show More
The process of fusing a high spatial resolution (HR) panchromatic (PAN) image and a low spatial resolution (LR) multispectral (MS) image to obtain an HRMS image is known as pansharpening. With the development of convolutional neural networks (CNNs), the performance of pansharpening methods has been improved; however, blurry effects and spectral distortion still exist in their fusion results due to...Show More
Although previous studies have demonstrated visual spatial frequency processing in human, how orientation discrimination alter visual spatial frequency processing in temporal mechanism has not yet been elucidated completely. To investigate this, we design to performing a classical perceptual tasks of grating orientation discrimination. Participants were told to identify the orientation of the stim...Show More