Accurate and efficient point cloud registration is essential in various fields, such as robotics, autonomous driving medical imaging. The size of clouds presents a significant challenge for existing methods. In this paper, novel sampling method to improve the performance process proposed. Instead geometric feature preservation, which preferred most methods, our approach scales every groups scal...

The differential privacy histogram publishing method based on grouping cannot balance the reconstruction error and Laplace noise error, resulting in insufficient accuracy. To address this problem, we propose a symmetric DPHR (differential released). Firstly, algorithm uses exponential mechanism to sort counting of original bucket globally improve accuracy; secondly, an optimal dynamic programmi...

Histogram equalization is a nonlinear technique for adjusting the contrast of an image using its histogram. It increases the brightness of a gray scale image which is different from the mean brightness of the original image. There are various types of Histogram equalization techniques like Histogram Equalization, Contrast Limited Adaptive Histogram Equalization, Brightness Preserving Bi Histogr...

In digital color imaging, it is of interest to transform the color scene of an image to the other. Some attempts have been done in this case using, for example, lαβ color space, principal component analysis and recently histogram rescaling method. In this research, a novel method is proposed based on the Resenfeld and Kak histogram matching algorithm. It is suggested that to transform the color...

The time histogram method is the most basic tool for capturing a time dependent rate of neuronal spikes. Generally in the neurophysiological literature, the bin size that critically determines the goodness of the fit of the time histogram to the underlying spike rate has been subjectively selected by individual researchers. Here, we propose a method for objectively selecting the bin size from t...

| The need for high dynamic range analog to digital converters (ADCs) is strong due to the growing use of digital signal processing in communications applications. ADC performance has improved over the years due to advances in both design concepts and semiconductor technologies. However most ADCs still still exhibit undesirable distortion in addition to quantization error, thus limiting spuriou...