Optimization of spectral sensitivities of a set of color sensor is very important to acquire colorimetric information of object being imaged. In the present paper, for the technical tractability, the problem on the design of an optimal set of spectral sensitivities with Gaussian distribution functions is addressed based on a colorimetric evaluation model. It is shown that the shapes of the optimal spectral sensitivities sharpen and the peak wavelengths tend to locate at equal intervals with a decrease of signal-to noise ratio (SNR) to suppress the noise effects. The six multispectral camera was assembled using a set of six interference filters based on the optimization and the preliminary experimental results were presented
Reconstruction of spectral reflectances of objects being imaged is very important for color reproduction, because color reproduction under various illuminations can be easily achieved. In this manuscript, we introduce the evaluation model for a color image acquisition device aimed at reconstruction of the reflectance spectra of objects being imaged. Multichannel image acquisition system was assembled and the quality of the system was evaluated. Experimental results are presented to show the color reproduction using the von Kries model.
The detection of subsurface objects, whose sizes are smaller than wavelength of reflection wave, and whose are closely located buried objects takes a primarily importance as far as the expansion of the underground detection area via Pulse Radar Method as well as a precise and fast detection is concerned. Knowing it, we developed an accurate simulation program, which can simulate difference of form and quality of the material. We report of simulator's principle and result of simulate.
In this paper, we show that Blind deconvolution (BD) has only finite solutions if an original image and a Point Spread Function are nonzero over a restricted domain, in other words, an observed image has finite support. Then we propose an algorithm to find all finite solutions under this boundary condition. The key of the proof is to use z-transformation and factorization of polynomials. Finally, we confirm that we can extract all sets of an original image and a PSF from a degraded image by using our algorithm in numerical examples.
Research of the field of motion is also prosperous towards realization of a future holography TV. However, as interference pattern of holography have large information, it isn't suitable to transmit over network. Consequently, I develop coding system for holography by using digital holography.
In the VOD service, the low resolution video data is expected for content searching, and the hi resolution video data is expected for browsing. In our previous studies, we presented the effect of scalability encoding in cache utilization. In this study, we report comprehensive experiments on cases of various cache sizes and various user access tendency. As a result, if the cache size is enough to store the contents that often accessed, the data transferred between VOD server and cache terminal can be decreased by the scalability encoding, but the users waiting time is not much decreased.
Using dance actions, we developed a method for estimating the dancer's performance level through motion analysis of the video. The estimation is carried out by connecting subjective estimation results of dancers' performance with motion features automatically extracted through video processing. The motion features are rhythm elements of dance action. As a result, these rhythm elements are found to have strong correlation with subjective estimation for performance levels.
We propose a method for representing transition of appearance of the ground due to rain. Our method particularly focuses on the beginning of the rain, that is, the appearance of the ground changes from dry to wet. We treat the number of rain drops fallen on the unit area with "moisture map", then we change the color of the fragment of the ground by using the map. To reduce the memory for the "moisture map", the map consists of multiple layers with multiple resolution and we developed a technique to assign the appropriate resolution synchronizing to that of visible surface.
Conversation is a fundamental way of communication. The ability in producing a speech sound is improved by talking in daily life. Nevertheless, there are people whose voice is hard to hear, and it is known that such voice can be cleared by training. In this report, we discuss the evaluation method by image processing on the voice training. Obtained face images are processed by spatial filter to detect the motion size and speed. The result shows that the ability of quantitative evaluation of this method in the condition of same-subject and fixed camera-face distance.
In this Paper, we discuss the spatial and temporal relationship among clusters of images grouped by pre-annotated folder names in a consumer digital photograph collection of more than 80,000 images. In previous paper, we have proposed a MPEG-7 based multimedia content description tool which annotates multimedia data with twelve main attributes regarding its semantic representation. The twelve attributes include answers of who, what, when, where, why and how (5W1H) the digital content was produced as well as the respective direction, distance and duration (3D) information. And we define digital multimedia contents including image, video and music embedded with the proposed semantic attributes as Dozen Dimensional Digital Content (DDDC). This discussion indicates how spatial and temporal information closely relate to the clustering of consumer photograph collections and can be used in building future DDDC Library.
This paper proposes a technique which expresses the document or the voice or any data as a color dot code and the image corresponding to the color dot code. By this technique, we can manage all the data based on the image corresponding to the data.
As well known, the Hunt effect is that saturation increases with luminance increment. The effect has been explained as a brain information processing in the original paper of Hunt. But there remain an unsolved question that is there any contribution of adjusting the sensitivity of the color matching functions to the effect? In this paper, the unsolved question is discussed based on our chromatic adaptation model called Maximum Color Separation (MCS). Based on the model, the relationship between the effect and the contribution of adjusting the sensitivity of the color matching functions is discussed.