The error diffusion method generates worm artifacts, and weakens the edge of the halftone image when the continuous gray scale image is reproduced by a binary image. First, to enhance the edges, we propose the edge-enhancing filter by considering the quantization error information and gradient of the neighboring pixels. Furthermore, to remove worm artifacts often appearing in a halftone image, ...

The decomposition of an input image into its materialdependent “intrinsic” properties and its light-dependent shading properties is useful for many computer vision tasks such as image segmentation, object recognition, and geometric inference. For example, image segmentation and edge detection can be performed by grouping sets of pixels by reflectance values; object recognition will be more robu...

The effect of linear and non-linear diffusions prior to Joint Photographic Experts Group’s (JPEG) standard baseline compression is analysed and compared. We shall show that anisotropic diffusion acts as an adaptive filtering that extracts and preserves the important visual information, and it will be shown how it can be used as a preprocessing method for compression artefact reduction. The sele...

In the course of the evaluation of the stream cipher SOBER-t32 submitted to NESSIE, a correlation between initial states has been found for related keys. With high probability some sums of bits of the initial state after key loading do not change their value when a bit of the key is inverted. This holds also for the loading of frame keys. It is shown that the required condition for the frame ke...

This paper describes a linear phase digital filter with novel linear phase condition. A conventional linear phase digital filter is an FIR filter with coefficients of oddor even –symmetry and whose group delay NTs/2 where N is the number of the FIR filter taps and Ts is the sampling period; its group delay time resolution is Ts/2. We have generalized the linear phase condition, and with our nov...

Image restoration has been an active research area. Different formulations are effective in high quality recovery. Partial Differential Equations (PDEs) have become an important tool in image processing and analysis. One of the earliest models based on PDEs is Perona-Malik model that is a kind of anisotropic diffusion (ANDI) filter. Anisotropic diffusion filter has become a valuable tool in dif...

The error diffusion filter in this paper is optimized with respect to the ideal blue noise pattern corresponding to a single tone level. The filter coefficients are optimized by the minimization of the squared error norm between the Fourier power spectra of the resulting halftone and the blue noise pattern. During the process of optimization, the binary pattern power spectrum matching algorithm...

In this paper, we proposed a new error diffusion filter construction method for digital halftoning with random space-filling curve. A random space-filling curve is introduced to incorporate some randomness for regular space-filling curve such as Peano curve and Hilbert curve. Since the round error is propagated to adjacent pixels whose output values have not been determined, the error diffusion...

BACKGROUND Denoising with edge preservation is very important in digital x-ray imaging since it may allow us to reduce x-ray dose in human subjects without noticeable degradation of the image quality. In denoising filter design for x-ray imaging, edge preservation as well as noise reduction is of great concern not to lose detailed spatial information for accurate diagnosis. In addition to this,...

In this paper, we propose a particle filtering approach for tracking applications in image sequences. The system we propose combines a measurement equation and a dynamic equation which both depend on the image sequence. Taking into account several possible observations, the likelihood is modeled as a linear combination of Gaussian laws. Such a model allows inferring an analytic expression of th...