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The obstacles for images that are taken under the water are haze, low contrast, loss of color, etc. The quality of images that are taken under the water is not clear due to the impurities present in the water and some properties of water. This paper proposes methods to improve the quality of the underwater images. The proposed work in the paper consist of two methods they are Interpolation based Enhancement...
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 a new, faster approach which is different from all the other conventional image vectorization techniques. Using canny edge detection we are able to find the sharp edges in the image and the assigning shades to each identifiable segment using random colour extraction from the original image. Finally mapping the colour blobs with the SVG Schema and generating a scalable vector image. This...
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...
This paper proposes a new fuzzy multiscale color edge detection approach using power law transformation. The proposed approach involves two stages. In the first stage, color transformation is carried out from RGB color space to HLS color space. The HLS color space posses lightness information much than the RGB color space. Hence, the second stage computes fuzzy symmetry color spread index for each...
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