In order to explore suitable video processing algorithms for a unique all digital display system, the DLP (digital light processing) projection system using the DMD (digital micro-mirror device), a high performance pr...
详细信息
In order to explore suitable video processing algorithms for a unique all digital display system, the DLP (digital light processing) projection system using the DMD (digital micro-mirror device), a high performance programmable video processor has been desired. A SIMD (single instruction multiple data stream) type real-time video processor, the SVP2 (second generation scan-line video processor) is used to implement the majority of algorithms required on the DLP systems. The SVP2 is fully programmable to create various video algorithms. The SVP2 device architecture, the optimal software programming schemes, and the developed video signal enhancement algorithms including a deinterlacer, a peaking and a simple chroma transient improvement (CTI) optimized on an SVP2 are described.
Three novel adaptive multichannel L-filters based on marginal data ordering are proposed. They rely on well-known algorithms for the unconstrained minimization of the mean squared error (MSE), namely, the least mean s...
详细信息
Three novel adaptive multichannel L-filters based on marginal data ordering are proposed. They rely on well-known algorithms for the unconstrained minimization of the mean squared error (MSE), namely, the least mean squares (LMS), the normalized LMS (NLMS) and the LMS-Newton (LMSN) algorithm. Performance comparisons in color image filtering have been made both in RGB and U/sup */V/sup */W/sup */ color spaces. The proposed adaptive multichannel L-filters outperform the other candidates in noise suppression for color images corrupted by mixed impulsive and additive white contaminated Gaussian noise.
Blind equalization and blind deconvolution have been an important interesting topic in diverse fields including data communication,image processing and geophysical data ***,Inouye and Habe proposed a multistage maximi...
详细信息
Blind equalization and blind deconvolution have been an important interesting topic in diverse fields including data communication,image processing and geophysical data ***,Inouye and Habe proposed a multistage maximization criterion and a single-stage maximization criterion for attaining the blind equalization of multichannel linear time-invariant ***,their maximization criteria should be subjected to several constraints of *** this paper,we present unconstrained new maximization criteria for accomplishing the blind equalization of multichannel linear time-invariant *** gradient algorithms are proposed for solving the unconstrained maximization *** examples are included to examine the performance of the proposed algorithms.
In this paper a recursive algorithm with regular structure is first presented for computing the discrete cosine transform(DCT-Ⅱ),it requires no data sliifls,the multiplication coefficients can be generated by a simpl...
详细信息
In this paper a recursive algorithm with regular structure is first presented for computing the discrete cosine transform(DCT-Ⅱ),it requires no data sliifls,the multiplication coefficients can be generated by a simple *** the recursive algorithms for DCT-Ⅰand DCT-Ⅳare *** algorithms have no value stable problem,which complexity is the same as that of Reference[3]and[7],and these algorithms are very useful for practice.
In this paper,a real -time radar video signal simulator based on DSP is described together with the hardware architecture and software design. The method of generating clutter is presented and briefly described. The r...
详细信息
In this paper,a real -time radar video signal simulator based on DSP is described together with the hardware architecture and software design. The method of generating clutter is presented and briefly described. The radar video signal simulator has been used successfully as a test device for ZL3-2 radar dataprocessing development and as a tool for testing and evaluating the completed prototype system;for operator training
We present a pilot-based channel identification scheme with a unimodal performance surface which guarantees its convergence towards an unbiased estimate of the channel response.A computationally efficient least square...
详细信息
We present a pilot-based channel identification scheme with a unimodal performance surface which guarantees its convergence towards an unbiased estimate of the channel response.A computationally efficient least squares channel identification algorithm is then proposed. We also introduce three different implementation strategies for data receivers which may use the proposed scheme for semi-blind equalization of communication *** reliability of the proposed scheme is tested through computer simulations.
This paper describes theoretical background of a mean absolute error (MAE) approximation method which was adopted as a half-pel motion estimation method in our real-time MPEG-2 codec VisuaLink 7000. We also propose an...
详细信息
This paper describes theoretical background of a mean absolute error (MAE) approximation method which was adopted as a half-pel motion estimation method in our real-time MPEG-2 codec VisuaLink 7000. We also propose an improved MAE approximation method which employs the horizontal and the vertical differentials of a source picture in addition to the MAEs of adjacent full-pel motion vectors. In general, any approximation method for MAE involves some loss of coding efficiency. However, the proposed method reduces loss of coding efficiency to 1/2/spl sim/3/4 of other existing methods with negligible increases of necessary computations and data transfers.
作者：
Zhenlei CaiAnthony T.S.HoSchool
of Electrical and Electronic Engineering Nanyang Technological University SINGAPORE 639798
We present a practical approach for detecting and localizing clouds in satellite remote sensing images. Cloud detection is useful in improving the accuracy of land cover classification when there are clouds present in...
详细信息
We present a practical approach for detecting and localizing clouds in satellite remote sensing images. Cloud detection is useful in improving the accuracy of land cover classification when there are clouds present in the *** detection and removal of clouds we can selectively merge classification results from two temporally separate images of the same area to minimise the cloud *** emphasise the ease of implementation of the algorithm so that practitioners can easily adapt the method for their own use.
The wavelet transform has recently emerged as a powerful tool for non-stationary analysis. Its discrete version is closely related to a dyadic filter bank which has been used in image processing. In order to obtain a ...
详细信息
The wavelet transform has recently emerged as a powerful tool for non-stationary analysis. Its discrete version is closely related to a dyadic filter bank which has been used in image processing. In order to obtain a higher data compression we use vector quantizers. We compute the mean squared reconstruction error (MSE) which depends on N, the number of the entries in each codebook, and k, the length of each codeword (that is, the average bit rate) and on the dyadic filter bank coefficients. We form this MSE measure in terms of the equivalent scalar quantization model and find the optimum FIR filter coefficients for each equivalent channel in the dyadic tree subband structure for a given bit rate, given filter length, and given input signal correlation model. Specific design examples are worked out for 4-tap filter in a 3-stage dyadic paraunitary filter bank structure. Theoretical results are confirmed by extensive Monte Carlo simulation.
A three-dimensional (3-D) non-orthogonal sampling technique is proposed in this paper. Orthogonally-sampled original motion pictures are first bandlimited in accordance with their spectral distribution by a bandlimiti...
详细信息
A three-dimensional (3-D) non-orthogonal sampling technique is proposed in this paper. Orthogonally-sampled original motion pictures are first bandlimited in accordance with their spectral distribution by a bandlimiting technique. Then, the pictures are downsampled into body-centered cubic sampling (BCCS), which is known as one of the typical 3-D non-orthogonal samplings. If the maximum resolutions on the horizontal, vertical, and temporal axes in the 3-D frequency domain are equal for these two sampling schemes, BCCS can reduce the data amount to a quarter of that of the orthogonal sampling. The spectral adaptation proposed in this paper avoids degradation of picture quality such as ringing in still pictures or blurring in moving pictures without introducing heavy aliasing error. The examples given in this paper demonstrate these advantages.
暂无评论