IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2003
... The transform is based on the principal component analysis and on the wavelet transform. ... ... more ... The transform is based on the principal component analysis and on the wavelet transform. ... Through watermarking the owner of the image can authenticate the authorized use of the image [1]. Insteganography, the purpose is to include the actual message as a watermark into ...
IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2003
Automation of change detection greatly enhances environmental monitoring. This study describes po... more Automation of change detection greatly enhances environmental monitoring. This study describes possibilities for automation of change detection through image processing actions that include geometric correction, classification and segmentation. The water area was photographed twice and the changes in water vegetation were under consideration. The results from image processing monitoring were compared to the on-site measurements. The correspondence between these two
Digital imaging continues expansion to various applications. Spectral images are becoming more po... more Digital imaging continues expansion to various applications. Spectral images are becoming more popular as one field of digital imaging. In this study we utilize a watermarking method for spectral images, based on the three-dimensional wavelet transform. We study the influence of watermarking process to illuminated watermarked images. In particular, we focus on how the watermarking effects to the spectrum of
Image and Signal Processing for Remote Sensing VIII, 2003
Methods for noise reduction in multicomponent spectral images are developed and discussed. Multic... more Methods for noise reduction in multicomponent spectral images are developed and discussed. Multicomponent spectral images can be corrupted by noise either on all the channels or on some of the channels only. In the first case there are two possibilities: either the noise is on all the channels in the same way or the noise is randomly distributed on all
Image and Signal Processing for Remote Sensing VIII, 2003
Several powerful lossy compression methods have been developed for hyperspectral images. However,... more Several powerful lossy compression methods have been developed for hyperspectral images. However, it is difficult to determine sufficient quality for reconstructed hyperspectral images. We have measured the information loss from the lossy compression with Signal-to-Noise-Ratio (SNR) and Peak-Signal-to-Noise-Ratio (PSNR). To get more illustrative error measures unsupervised K-means clustering combined with spectral matching methods was used. Spectral matching methods include Euclidean
2009 International Workshop on Local and Non-Local Approximation in Image Processing, 2009
ABSTRACT Lossy compression of images corrupted by mixed Poisson and additive Gaussian noise is co... more ABSTRACT Lossy compression of images corrupted by mixed Poisson and additive Gaussian noise is considered. Peculiarities of noise filtering effects observed for two approaches to image compression are studied. This is first done for specially created artificial image and, then, for two standard test images. It is shown that the standard (direct) approach to lossy compression leads to different degrees of noise suppression depending upon image mean in homogeneous regions. The use of root transformation leads to better results. Moreover, coder parameters can be adjusted to mixed noise parameters if they are known a priori. Then it becomes possible to reach optimal operation point (OOP), i.e., such compression ratio (CR) or bpp that provide maximal peak signal-to noise ratio (PSNR) or minimal MSE calculated between compressed and noise free images without having an actual noise-free image. A provided CR can be about 10hellip30 depending upon image complexity.
2006 International Conference on Mathematical Methods in Electromagnetic Theory, 2006
Abstract The need to perform analysis and processing hyperspectral images registered by AVIRIS im... more Abstract The need to perform analysis and processing hyperspectral images registered by AVIRIS imager is stated. AVIRIS system basic characteristics are briefly discussed. Then, novel approaches and robust methods for estimation of noise variance and signal-to-...
IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2003
... The transform is based on the principal component analysis and on the wavelet transform. ... ... more ... The transform is based on the principal component analysis and on the wavelet transform. ... Through watermarking the owner of the image can authenticate the authorized use of the image [1]. Insteganography, the purpose is to include the actual message as a watermark into ...
IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2003
Automation of change detection greatly enhances environmental monitoring. This study describes po... more Automation of change detection greatly enhances environmental monitoring. This study describes possibilities for automation of change detection through image processing actions that include geometric correction, classification and segmentation. The water area was photographed twice and the changes in water vegetation were under consideration. The results from image processing monitoring were compared to the on-site measurements. The correspondence between these two
Digital imaging continues expansion to various applications. Spectral images are becoming more po... more Digital imaging continues expansion to various applications. Spectral images are becoming more popular as one field of digital imaging. In this study we utilize a watermarking method for spectral images, based on the three-dimensional wavelet transform. We study the influence of watermarking process to illuminated watermarked images. In particular, we focus on how the watermarking effects to the spectrum of
Image and Signal Processing for Remote Sensing VIII, 2003
Methods for noise reduction in multicomponent spectral images are developed and discussed. Multic... more Methods for noise reduction in multicomponent spectral images are developed and discussed. Multicomponent spectral images can be corrupted by noise either on all the channels or on some of the channels only. In the first case there are two possibilities: either the noise is on all the channels in the same way or the noise is randomly distributed on all
Image and Signal Processing for Remote Sensing VIII, 2003
Several powerful lossy compression methods have been developed for hyperspectral images. However,... more Several powerful lossy compression methods have been developed for hyperspectral images. However, it is difficult to determine sufficient quality for reconstructed hyperspectral images. We have measured the information loss from the lossy compression with Signal-to-Noise-Ratio (SNR) and Peak-Signal-to-Noise-Ratio (PSNR). To get more illustrative error measures unsupervised K-means clustering combined with spectral matching methods was used. Spectral matching methods include Euclidean
2009 International Workshop on Local and Non-Local Approximation in Image Processing, 2009
ABSTRACT Lossy compression of images corrupted by mixed Poisson and additive Gaussian noise is co... more ABSTRACT Lossy compression of images corrupted by mixed Poisson and additive Gaussian noise is considered. Peculiarities of noise filtering effects observed for two approaches to image compression are studied. This is first done for specially created artificial image and, then, for two standard test images. It is shown that the standard (direct) approach to lossy compression leads to different degrees of noise suppression depending upon image mean in homogeneous regions. The use of root transformation leads to better results. Moreover, coder parameters can be adjusted to mixed noise parameters if they are known a priori. Then it becomes possible to reach optimal operation point (OOP), i.e., such compression ratio (CR) or bpp that provide maximal peak signal-to noise ratio (PSNR) or minimal MSE calculated between compressed and noise free images without having an actual noise-free image. A provided CR can be about 10hellip30 depending upon image complexity.
2006 International Conference on Mathematical Methods in Electromagnetic Theory, 2006
Abstract The need to perform analysis and processing hyperspectral images registered by AVIRIS im... more Abstract The need to perform analysis and processing hyperspectral images registered by AVIRIS imager is stated. AVIRIS system basic characteristics are briefly discussed. Then, novel approaches and robust methods for estimation of noise variance and signal-to-...
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