In this paper, we generalize our previously published axiom system for quantification of image resolution and prove that any resolution measure consistent with the new axiom system must be a homogeneous symmetric function of order 1/2 of the eigenvalues of the covariance matrix of the PSF. We demonstrate that the previous axiom system is not consistent with the affine transformation axiom. We propose a weak combination axiom to replace the previous strong combination axiom and use it to solve this conflict. It is remarkable that the original finding in one-dimension by Wang and Li can be easily rediscovered with aid of the weak combination axiom, instead of using the previous strong combination axiom. If the previous axiom system is modifie...
This report relates to the field of image restorations and features extracting from noisy and blurr...
This report relates to the field of image restorations and features extracting from noisy and blurr...
This report relates to the field of image restorations and features extracting from noisy and blurr...
AbstractIn this paper, we generalize our previously published axiom system for quantification of ima...
In this paper, we generalize the axiomatic system for quantification of image resolution, prove that...
Image resolution is the primary parameter for performance characterization of any imaging system. In...
This thesis addresses the multivariate super-resolution problem commonly encountered in pixelized im...
We present a model for early vision tasks such as denoising, super-resolution, deblurring, and demos...
Natural images contain considerable redundancy, some of which is successfully captured using recentl...
Abstract. The problem of recognizing objects subject to affine transformation in images is examined ...
Enhancing the resolution of an image using the data available from multiple low-resolution images is...
Why and how one should study a scale-space is prescribed by the universal physical law of scale inva...
Image-processing transforms must satisfy a list of formal requirements. We discuss these requirement...
Why and how one should study a scale-space is prescribed by the universal physical law of scale inva...
Why and how one should study a scale-space is prescribed by the universal physical law of scale inva...
This report relates to the field of image restorations and features extracting from noisy and blurr...
This report relates to the field of image restorations and features extracting from noisy and blurr...
This report relates to the field of image restorations and features extracting from noisy and blurr...
AbstractIn this paper, we generalize our previously published axiom system for quantification of ima...
In this paper, we generalize the axiomatic system for quantification of image resolution, prove that...
Image resolution is the primary parameter for performance characterization of any imaging system. In...
This thesis addresses the multivariate super-resolution problem commonly encountered in pixelized im...
We present a model for early vision tasks such as denoising, super-resolution, deblurring, and demos...
Natural images contain considerable redundancy, some of which is successfully captured using recentl...
Abstract. The problem of recognizing objects subject to affine transformation in images is examined ...
Enhancing the resolution of an image using the data available from multiple low-resolution images is...
Why and how one should study a scale-space is prescribed by the universal physical law of scale inva...
Image-processing transforms must satisfy a list of formal requirements. We discuss these requirement...
Why and how one should study a scale-space is prescribed by the universal physical law of scale inva...
Why and how one should study a scale-space is prescribed by the universal physical law of scale inva...
This report relates to the field of image restorations and features extracting from noisy and blurr...
This report relates to the field of image restorations and features extracting from noisy and blurr...
This report relates to the field of image restorations and features extracting from noisy and blurr...