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Paper describe an NP-video phenomena model system. It provides a simple non-photorealistic scene model in which users can not only obtain an abstraction, infinite video but also obtain enjoyable and real-time artistic experience. Firstly, we design a new algorithm for fast converting a photo or image to a synthesized painting of abstraction. Secondly, we propose a new modeling video texture based...
This study describes a novel method, called single-linking pulse coupled neural network (PCNN), for Altering extreme impulse noise in a image. The proposed single-linking PCNN simplifies conventional PCNN and thus the related parameter can be adaptively selected and no iteration time needs to be determined, which a noisy image can be filtered by two times of firing process of the original image and...
A novel method is proposed to detect and Alter pepper and salt noise in an image based on pulse coupled neural network (PCNN) firing matrix, which contains the spatial information and time information of the original image. The PCNN structure is simplified to avoid selecting too many parameters, which a unidirectional decaying threshold is proposed. The pixels polluted by noise are detected through...
There are many biometric features in the hand images captured by digital camera, but few studies are done to extract fingerprint image from it. This paper presents some fingerprint image preprocessing approaches based on a whole-hand image captured by digital camera. The preprocessing methods include key point location, finger image segmentation and fingerprint region extraction. Firstly, the key...
In this paper, we present a multibiometric approach which combines palmprint, fingerprint and finger geometry collected by a digital camera at decision fusion level. First, eight neighborhood border tracing algorithm is applied to locate fingertips and valley points, then the regions of palmprint and fingerprint as well as a finger contour are extracted from a whole-hand image. Second, the linear...
This paper proposes an improved Poisson image editing algorithm. It can improve the quality of the resulting composite between different images significantly by three steps. At first, we extract object boundary based on global Poisson matting. Then, optimal boundary is computed by shortest-path algorithm between the object boundary and user specified boundary. Finally, seamless composite is achieved...
This paper presents a non-photorealistic rendering technique that automatically extracts stylized edge map from 2D images, aiming to facilitate effective visual communication. We introduce an anisotropic DoG (difference-of-Gaussians) filter that can extract a set of coherent, smooth, and stylized lines from 2D images. These lines effectively capture and convey important shapes and details in the image...
The paper presents a new interactive local color transformation method base on GrowCut image segmentation algorithm. The method improves Maslennikova et al's CIM based color transformation algorithm by using coupled map lattices (CML). An intuitive and easy user interface is also supported. User just needs to draft some trails both in reference and target image to make the local color matched. The...
To provide with an effective method for computer generated images with artistic appearances from 2D images motivates our work in this paper. We mainly propose the method for generating the artistic appearances based on the deviation mapping technique. As the preprocessing of the deviation mapping, the texture synthesis can be fulfilled to produce the background image with the same size of the foreground...
In this paper, we present a GPU based video stylization framework that can artistically stylize video stream in real time. In this framework, firstly, we use a separable implementation of bilateral filter as an adaptive and iterative smoothing operation that selectively simplifies image color, leading to an abstracted look. Secondly, we perform a soft color quantization step on the abstracted video...
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