You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: imguidedfilter.m
    path of file: ./repos/microshift_compression/matlab code/Toolkits
    
    the code of the file until where you have to start completion: function B = imguidedfilter(varargin)
%IMGUIDEDFILTER Guided filtering of images
%
%   B = imguidedfilter(A, G) filters binary, grayscale, or RGB image A
%   using the guided filter, where the filtering process is guided by image
%   G. G can be a binary, grayscale or RGB image and must have the same
%   number of rows and columns as A.
%
%   B = imguidedfilter(A) filters input image A under self-guidance i.e.,
%   using A itself as the guidance image. This can be used for
%   edge-preserving smoothing of image A.
%
%   B = imguidedfilter(__,Name,Value,...) filters the image A using name-value
%   pairs to control aspects of guided filtering. Parameter names can be
%   ab
    
function validateNeighborhoodSize
        % If user has specified NeighborhoodSize, i.e. default
        % NeighborhoodSize is not used and if the specified value is too
        % big, then throw an error.
        if (~any(strcmp('NeighborhoodSize', parser.UsingDefaults))) && ...
                (any(parsedInputs.NeighborhoodSize > [size(parsedInputs.A, 1), ...
                size(parsedInputs.A, 2)]))
            error(message('images:imguidedfilter:nhoodSizeTooLarge', ...
                'NeighborhoodSize'));
        end
    end

    function tf = checkA(A)

        validateattributes(A, validImageTypes, {'3d', 'nonsparse', 'real'}, ...
            mfilename, 'A', 1);

        tf = true;

    end