コード例 #1
0
        protected override void ApplyFilter()
        {
            // get source image size
            int width  = _sourceData[0].GetLength(0),
                height = _sourceData[0].GetLength(1);

            int channels = _sourceData.Length;

            // Estimate a good filter size for the gaussian.
            // Note that gaussian isn't an ideal bandpass filter
            //  so this is an experimentally determined quantity
            double std = (width / _newWidth) * 0.50;

            for (int i = 0; i < channels; i++)
            {
                GrayImage channel = new GrayImage(_sourceData[i]);

                channel = Convolution.Instance.GaussianConv(channel, std);

                _sourceData[i] = channel.ToByteArray2D();
            }

            // number of pixels to shift in the original image
            double xStep = (double)width / _newWidth,
                   yStep = (double)height / _newHeight;


            NNResize resizer = new NNResize();

            _destinationData = resizer.Apply(_sourceData, _newWidth, _newHeight);
        }
コード例 #2
0
        public override void ApplyFilter()
        {
            int    length = _sourceData[0].GetLength(0);
            int    num    = _sourceData.Length;
            double std    = (double)(length / _newWidth) * 0.5;

            for (int i = 0; i < num; i++)
            {
                GrayImage data = new GrayImage(_sourceData[i]);
                data           = Convolution.Instance.GaussianConv(data, std);
                _sourceData[i] = data.ToByteArray2D();
            }
            NNResize nNResize = new NNResize();

            _destinationData = nNResize.Apply(_sourceData, _newWidth, _newHeight);
        }
コード例 #3
0
        private Filter GetResizeFilter(ResamplingFilters technique)
        {
            Filter resizeFilter;

            switch (technique)
            {
            case ResamplingFilters.NearestNeighbor:
                resizeFilter = new NNResize();
                break;

            case ResamplingFilters.LowpassAntiAlias:
                resizeFilter = new LowpassResize();
                break;

            default:
                throw new NotSupportedException();
            }
            resizeFilter.ProgressChanged += ResizeProgressChanged;
            return(resizeFilter);
        }
コード例 #4
0
ファイル: ImageResizer.cs プロジェクト: jjg0519/OA
        public Image Resize(double scale, ResamplingFilters technique)
        {
            FluxJpeg.Core.Filtering.Filter filter;
            int newHeight = (int)(scale * this._input.Height);
            int newWidth  = (int)(scale * this._input.Width);

            switch (technique)
            {
            case ResamplingFilters.NearestNeighbor:
                filter = new NNResize();
                break;

            case ResamplingFilters.LowpassAntiAlias:
                filter = new LowpassResize();
                break;

            default:
                throw new NotSupportedException();
            }
            return(new Image(this._input.ColorModel, filter.Apply(this._input.Raster, newWidth, newHeight)));
        }
コード例 #5
0
        public Image Resize(double scale, ResamplingFilters technique)
        {
            int height = (int)(scale * _input.Height);
            int width  = (int)(scale * _input.Width);

            Filter resizeFilter;

            switch (technique)
            {
            case ResamplingFilters.NearestNeighbor:
                resizeFilter = new NNResize();
                break;

            case ResamplingFilters.LowpassAntiAlias:
                resizeFilter = new LowpassResize();
                break;

            default:
                throw new NotSupportedException();
            }

            return(new Image(_input.ColorModel, resizeFilter.Apply(_input.Raster, width, height)));
        }