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Noise estimation is crucial in many image processing algorithms such as image denoising. Conventionally, the noise is assumed as signal-independent additive white Gaussian process. However, for the real raw-data of imaging sensors, the present noise is better modeled as signal-dependent noise. In this work, we propose an efficient image sensor noise estimation method based on iterative re-weighted...
We propose and demonstrate a method of spatially overlapping diversity technology for wavefront sensing and image restoration with undersampled systems, which can handle extended objects illuminated by spatially incoherent light. The technique first scans a smaller subaperture across the large pupil of undersampled systems to generate several properly sampled images. Then, a nonlinear optimization...
Spectrum sensing is one of the main parts in cognitive radio. The performance of the adopted spectrum sensing method is very important. When the primary user and the cognitive radio are in operation simultaneously, performance of spectrum sensing is damaged. We propose to apply the linear prediction for the blind source separation algorithm as an alternative for more conventional techniques. Simulation...
This paper presents a new technique for high resolution direction finding that only requires the array outputs to be sampled one at a time by a single channel receiver. According to single channel output, we establish a new processing model. The new model is structurally similar to the conventional multiple channel model and the only difference is that the rectification item can be modified. This...
Current particle filter assumes that the dimension of state is known and constant and it fails when this suppose does not holds. This paper improves on the particle filter using RJMCMC. The improved particle filter can not only preserve the performance on the Non-Linear and Non-Gaussian condition, but also can be used when the dimension of state is unknown or changing over time. This paper uses the...
This paper describes a novel 3 dimensional color measurement system. After the sensors and corresponding data processing board were presented, based on a calibration board with right-angled triangle outline, two calibration algorithms are presented to obtain the extrinsic parameters for sensors. One is the calibration algorithm between 2 dimensional laser range finder (2D LRF), the other is for 2D...
This paper presented an algorithm to calibrate the extrinsic parameters between a 2 dimensional laser range finder and a pan-tilt platform. After 3 kind geometrical features are analyzed, the line feature was selected. A calibration board with right-angled triangle outline was designed to improve the calibration precision. Based on the line feature, the constrain equations was established. The experimental...
Features of the I-V characteristics and the electrical properties of electronics-grade carbon nanotube (EG-CNT) sensors, which were fabricated and integrated in micro fluidic system by combining MEMS-compatible fabrication technology with AC dielectrophoresis technique, were investigated at room temperature to account for significant Joule heating effect under high activation current. The experimental...
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