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This paper presents an effective method to enhance the quality of dim light surveillance via gradient fusion. We simply take the advantage that surveillance cameras capture a large quantity of valuable information at the same viewpoint during the day. And it can be used to make the video at night easier to perceive. Based on a gradient domain technique, all the important local perceptual cues from...
Image enhancement is one of the important tasks in image pre-processing to improve the image quality for other applies. The traditional morphological enhancement operator cannot well address enhancement process for low illumination color image. In this paper, we present a new morphological operator based on graphic theory for the enhancement of low illumination color image. Firstly, the notable Weber's...
In this paper, we address the problem of shadow detection and removal from single images of natural scenes. Differently from traditional methods that explore pixel or edge information, we employ a region-based approach. In addition to considering individual regions separately, we predict relative illumination conditions between segmented regions from their appearances and perform pairwise classification...
We propose a new model to stylize lighting effects in 2D images. Our stylizations are based on well-known artistic styles ranging from Chiaroscuro to comics. Lighting has always been used in graphical art to give realism to an illustration or to enhance visual contrasts between objects in a scene. This allows creating a global atmosphere. Giving an input image, our model automatically generates a...
Content-based multimedia database indexing and retrieval tasks require automatic extraction of descriptive features that are relevant to the subject materials i.e., images, video etc. The typical low-level features that are extracted in images and video include measures of color, texture, or shape. Although these features can easily be obtained, they do not give a precise idea of the image content...
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