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  2. Block-matching and 3D filtering - Wikipedia

    en.wikipedia.org/wiki/Block-matching_and_3D...

    Block-matching and 3D filtering (BM3D) is a 3-D block-matching algorithm used primarily for noise reduction in images. [1] It is one of the expansions of the non-local means methodology. [ 2 ] There are two cascades in BM3D: a hard-thresholding and a Wiener filter stage, both involving the following parts: grouping, collaborative filtering ...

  3. Wiener filter - Wikipedia

    en.wikipedia.org/wiki/Wiener_filter

    The causal finite impulse response (FIR) Wiener filter, instead of using some given data matrix X and output vector Y, finds optimal tap weights by using the statistics of the input and output signals. It populates the input matrix X with estimates of the auto-correlation of the input signal (T) and populates the output vector Y with estimates ...

  4. Block-matching algorithm - Wikipedia

    en.wikipedia.org/wiki/Block-matching_algorithm

    A Block Matching Algorithm is a way of locating matching macroblocks in a sequence of digital video frames for the purposes of motion estimation.The underlying supposition behind motion estimation is that the patterns corresponding to objects and background in a frame of video sequence move within the frame to form corresponding objects on the subsequent frame.

  5. Geometric mean filter - Wikipedia

    en.wikipedia.org/wiki/Geometric_mean_filter

    % Applies geometric mean filter to image input_noise that has added gaussian noise [m, n] = size (input_noise); output = zeros (m, n); % output image set with placeholder values of all zeros val = 1; % variable to hold new pixel value for i = 2: m-2 % loop through each pixel in original image for j = 2: n-2 % compute geometric mean of 3x3 window around pixel p = input_noise (i-1, j-1); q ...

  6. Wiener deconvolution - Wikipedia

    en.wikipedia.org/wiki/Wiener_deconvolution

    From left: Original image, blurred image, image deblurred using Wiener deconvolution. In mathematics, Wiener deconvolution is an application of the Wiener filter to the noise problems inherent in deconvolution. It works in the frequency domain, attempting to minimize the impact of deconvolved noise at frequencies which have a poor signal-to ...

  7. 2D adaptive filters - Wikipedia

    en.wikipedia.org/wiki/2D_Adaptive_Filters

    Block Diagonal 2D Adaptive Filters is an alternative approach [10] that scans the signal through blocks and applies weight adjustments for each block, instead of for each sample as in the traditional adaptive filters. The advantage of this kind of system is that it takes into account signal correlations along both dimensions.

  8. Simulink - Wikipedia

    en.wikipedia.org/wiki/Simulink

    Simulink is a MATLAB-based graphical programming environment for modeling, simulating and analyzing multidomain dynamical systems. Its primary interface is a graphical block diagramming tool and a customizable set of block libraries. It offers tight integration with the rest of the MATLAB environment and can either drive MATLAB or be scripted ...

  9. Motion compensation - Wikipedia

    en.wikipedia.org/wiki/Motion_compensation

    Variable block-size motion compensation (VBSMC) is the use of BMC with the ability for the encoder to dynamically select the size of the blocks. When coding video, the use of larger blocks can reduce the number of bits needed to represent the motion vectors, while the use of smaller blocks can result in a smaller amount of prediction residual ...