3 sonuçlar
Arama Sonuçları
Listeleniyor 1 - 3 / 3
Yayın Comment on "Encryption and decryption of images with chaotic map lattices" [Chaos 16, 033118 (2006)](American Institute of Physics Inc., 2008-09) Solak, Ercan; Çokal, CahitIn this paper, we comment on the chaotic encryption algorithm proposed by A. N. Pisarchik et al. [Chaos 16, 033118 (2006)]. We demonstrate that the algorithm is not invertible. We suggest simple modifications that can remedy some of the problems we identified.Yayın Digital color halftoning(IEEE-INST Electrical Electronics Engineers Inc, 2005-01) Baqai, F. A.; Lee, J. H.; Agar, A. Ufuk; Allebach, Jan P.Digital color halftoning is done to create the perception of a continuous-tone color image using the limited spatiochromatic discrimination capability of the human visual system. Several techniques to perform this task are now available. These techniques are broadly classified into three groups: approaches that characterize the spectral distribution created by a certain combination of colorant dots at a given printer addressable location; dot model based approaches; and empirical tone correction based approaches.Yayın Postprocessing of decoded color images by adaptive linear filtering(Elsevier Science, 2003-02) Bayazıt, UluğThis paper presents an image adaptive linear filtering method for the reconstruction of the RGB (red, blue, green) color coordinates of a pixel from the lossy compressed luminance/chrominance color coordinates. In the absence of quantization noise, the RGB coordinates of a pixel can be perfectly reconstructed by employing a standard, fixed filter whose support includes only the luminance/chrominance coordinates at the spatial location of the pixel. However, in the presence of quantization noise, a filter with a larger support, that also spatially extends over the luminance/chrominance coordinate planes, is capable of exploiting the statistical dependence among the luminance/chrominance coordinate planes, and thereby yields more accurate reconstruction than the standard, fixed filter. We propose the optimal (in the minimum mean squared error sense) determination of the coefficients of this adaptive linear filter at the image encoder by solving a system of regression equations. When transmitted as side information to the image decoder, the filter coefficients need not incur significant overhead if they are quantized and compressed intelligently. Our simulation results demonstrate that the distortion of the decompressed color coordinate planes can be reduced by several tenths of a dB with negligible overhead rate by the application of our image adaptive linear filtering method.
