In Digital Image Processing removing the noise from an images is a very important to get the excellent result. Different filtering techniques like Median Filter and Mean Filter is not effective oftentimes for filtering the digital images. The newest procedure in this paper has focused on the data mining methods to improve data mining based fuzzy filtering further by utilizing filter for mixed n...

1Ophthalmologist, Medical Doctor specializing in ocular oncology, Ophtalmology Department at Hospital A.C.Camargo, São Paulo, SP, Brazil 2Medical Doctor specialized in Pediatrics, Pediatrics Department, Hospital A.C.Camargo, São Paulo, SP, Brazil 3Ophthalmologist, Ophtalmology Department at Hospital A.C.Camargo, São Paulo, SP, Brazil 4Ophthalmologist, Head of the Ophtalmology Department at Hosp...

In this paper, we propose a trilateral-filter-based depth post processing to handle the occlusion points in order to enhance the quality of depth information and overcome the constraints in stereo vision. According to the experimental result, the depth quality is greatly enhanced especially in the occlusion regions and object boundaries. Proposed algorithm can provide high quality depth informa...

PURPOSE To estimate the incidence of trilateral retinoblastoma in patients with retinoblastoma. DESIGN Systematic review and meta-analysis. METHODS We searched Medline and Embase for scientific literature published between January 1966 and July 2015 that assessed trilateral retinoblastoma incidence. We used a random-effects model for the statistical analyses. RESULTS We included 23 retino...

In this paper, we propose a re nement lter for depth maps. The lter convolutes an image and a depth map with a cross computed kernel. We call the lter joint trilateral lter. Main advantages of the proposed method are that the lter ts outlines of objects in the depth map to silhouettes in the image, and the lter reduces Gaussian noise in other areas. The e ects reduce rendering artifacts when a ...

In this paper, we propose a refinement filter for depth maps. The filter convolutes an image and a depth map with a cross computed kernel. We call the filter joint trilateral filter. Main advantages of the proposed method are that the filter fits outlines of objects in the depth map to silhouettes in the image, and the filter reduces Gaussian noise in other areas. The effects reduce rendering a...

In this review paper, we have presented and compared a study of various fog/haze removal algorithms/techniques for image processing. Many algorithms are proposed so far for efficient fog removal. The dark channel prior based fog removal has provided quite promising results over the available techniques. Many researchers have also proposed various improvements in the dark channel prior so far to...