Image Reconstruction using a 2D M-channel Perfect Reconstruction Filter Bank with an Optimized Adaptive Interpolation Kernel
نویسنده
چکیده
In this paper, we propose an image reconstruction method utilizing an optimized adaptive interpolation kernel along with a 2D M-channel perfect reconstruction filter bank(M-ch PR-FB) structure. In particular, the proposed approach leads to sharper reconstructed images than a direct conversion, still preserving high frequency components of the original image by employing the subband processing of a 2D M-ch PR-FB. Finally, the image quality improved by the proposed approach is demonstrated by comparing with those of the direct conversion methods using the bicubic and adaptive 2 Newton interpolation kernels. Key-Words: Image reconstruction, M-ch PR-FB, Compactly Supported Sampling Function, Adaptive interpolation, PSO
منابع مشابه
An Efficient Algorithm to Design Nearly Perfect-Reconstruction Two-Channel Quadrature Mirror Filter Banks
In this paper, a novel technique for the design of two-channel Quadrature Mirror Filter (QMF) banks with linear phase in frequency domain is presented. To satisfy the exact reconstruction condition of the filter bank, low-pass prototype filter response in pass-band, transition band and stop band is optimized using unconstrained indirect update optimization method. The objective function is form...
متن کامل2D Four-Channel Perfect Reconstruction Filter Bank Realized with the 2D Lattice Filter Structure
In this paper, a novel orthogonal 2-D lattice structure is incorporated into the design of a nonseparable 2-D fourchannel perfect reconstruction filter bank. The proposed filter bank is obtained by using the polyphase decomposition technique which requires the design of an orthogonal 2-D lattice filter. Due to constraint of perfect reconstruction, each stage of this lattice filter bank is simpl...
متن کاملFigure 2: Analysis Stage of the M-channel Adaptive Filter Figure 3: Fft Structure Flowgraph of Order 4 for Walsh- Hadamard Transform
Image compression via adaptive perfect reconstruction filter banks is studied. AnM -channel filter bank is employed in a lifting scheme using MSE-adaptive predictors. FFT-ordered L-filters are used for prediction. L-filters include a class of linear and nonlinear filters. A switching between three different filters is made for applyingdifferent filters over smooth regions, around edges and over...
متن کاملA New Approach for Quantitative Evaluation of Reconstruction Algorithms in SPECT
ABTRACT Background: In nuclear medicine, phantoms are mainly used to evaluate the overall performance of the imaging systems and practically there is no phantom exclusively designed for the evaluation of the software performance. In this study the Hoffman brain phantom was used for quantitative evaluation of reconstruction techniques. The phantom is modified to acquire t...
متن کاملFIR approximations of inverse filters and perfect reconstruction filter banks
This paper first describes an algorithm that finds the approximate finite impulse response (FIR) inverse of an FIR filter by minimizing the inversion (or reconstruction) error constrained to zero-bias. The generalization of the inverse filtering problem in the two channel case is the design of perfect reconstruction filter banks that use critical sampling. These considerations lead to the deriv...
متن کامل