Rats chronically implanted with monopolar electrodes in the primary visual cortex were used to evaluate progressive changes occurring in the amplitude of visual evoked responses to repeated visual stimuli. It was found that if the rats were dark-adapted prior to testing, no consistent changes occurred in the early components of the evoked response. Without sufficient dark-adaptation, however, p...

Dark image enhancement is an essential requirement in image processing domain. As images are captured in different illumination conditions, it is important to enhance dark images or color images suffering from lack of contrast. The present algorithmsfor contrast enhancement sometimes result in artifacts andunnecessary changes. Recently Rivera et al. proposed a content aware algorithm for dark i...

Rain removal from a single image is a challenge which has been studied for a long time. In this paper, a novel convolutional neural network based on wavelet and dark channel is proposed. On one hand, we think that rain streaks correspond to high frequency component of the image. Therefore, haar wavelet transform is a good choice to separate the rain streaks and background to some extent. More s...

Diabetic retinopathy lesion detection such as exudate in fundus image of retina can lead to early diagnosis of the disease. Retinal image includes dark areas such as main blood vessels and retinal tissue and also bright areas such as optic disk, optical fibers and lesions e.g. exudate. In this paper, a multistage algorithm for the detection of exudate in foreground is proposed. The algorithm se...

localization of sources in patients with focal seizure has recently attracted many attentions. in the severe cases of focal seizure, there is a possibility of doing neurosurgery operation to remove the defected tissue. the prosperity of this heavy operation completely depends on the accuracy of source localization. to increase this accuracy, this paper presents a new weighted beamforming method...

Abstract Road detection on aerial and remote sensing vague images is a hard task. In this paper, an automatic road method for the proposed. The firstly uses improved MSR algorithm to enhance image, it automatically takes different scales in image regions, based depths obtained by dark channel prior algorithm. Then enhanced roughly segmented principle of local gray scale consistency, that, eight...

To improve the ability to detect and identify smog images in complex road traffic scenes, need be defogged, an optimized image defogging algorithm on basis of multi-scale convolutional neural network (MCNN) is proposed. The physical model scene scattering constructed, divided sky area, surface area boundary area. line between dark channel established by Canny edge detection MCNN optimization, s...