【C#/WPF】调节图像的对比度(Contrast)

关于对比度:
调节对比度直观感受是,高对比度的图像明暗关系更明显,色彩更鲜艳;低对比度的图像表面像是蒙上一层灰,色彩不鲜艳。

需求:
制作一个面板,一个滑动条,拖动滑动条可以修改目标图片的对比度。

资料参考:


 

界面滑动条两端的值是-30~30,默认处于中间位置0。已知目标图像的Bitmap数据。

  1. 修改Bitmap的对比度。
  2. 将修改之后的Bitmap重新赋值给界面Image控件显示。
        /// <summary>
        /// 调节对比度
        /// </summary>
        /// <param name="sender"></param>
        /// <param name="e"></param>
        private void Contrast_ValueChanged(object sender, RoutedPropertyChangedEventArgs<double> e)
        {
            // 滑动条是值是-30~30
            // originalBitmap是目标图像的Bitmap
            int threshold = (int)e.NewValue;
            Bitmap newBitmap = BitmapHelper.Contrast(originalBitmap, threshold);

            // 重新给Image控件赋值新图像
            image.Source = SystemUtils.ConvertBitmapToBitmapImage(newBitmap);
        }

 


 

下面调节图像对比度的工具方法:

    
    /// <summary>
    /// 代码来自:https://softwarebydefault.com/2013/04/20/image-contrast/
    /// </summary>
    public static class BitmapHelper
    {
        /// <summary>
        /// 调节图像的对比度
        /// </summary>
        /// <param name="sourceBitmap"></param>
        /// <param name="threshold">阈值,通过该参数控制调节</param>
        /// <returns></returns>
        public static Bitmap Contrast(this Bitmap sourceBitmap, int threshold)
        {
            BitmapData sourceData = sourceBitmap.LockBits(new Rectangle(0, 0,
                                        sourceBitmap.Width, sourceBitmap.Height),
                                        ImageLockMode.ReadOnly, System.Drawing.Imaging.PixelFormat.Format32bppArgb);

            byte[] pixelBuffer = new byte[sourceData.Stride * sourceData.Height];

            Marshal.Copy(sourceData.Scan0, pixelBuffer, 0, pixelBuffer.Length);

            sourceBitmap.UnlockBits(sourceData);

            double contrastLevel = Math.Pow((100.0 + threshold) / 100.0, 2);

            double blue = 0;
            double green = 0;
            double red = 0;

            for (int k = 0; k + 4 < pixelBuffer.Length; k += 4)
            {
                blue = ((((pixelBuffer[k] / 255.0) - 0.5) *
                            contrastLevel) + 0.5) * 255.0;

                green = ((((pixelBuffer[k + 1] / 255.0) - 0.5) *
                            contrastLevel) + 0.5) * 255.0;

                red = ((((pixelBuffer[k + 2] / 255.0) - 0.5) *
                            contrastLevel) + 0.5) * 255.0;

                if (blue > 255)
                { blue = 255; }
                else if (blue < 0)
                { blue = 0; }

                if (green > 255)
                { green = 255; }
                else if (green < 0)
                { green = 0; }

                if (red > 255)
                { red = 255; }
                else if (red < 0)
                { red = 0; }

                pixelBuffer[k] = (byte)blue;
                pixelBuffer[k + 1] = (byte)green;
                pixelBuffer[k + 2] = (byte)red;
            }

            Bitmap resultBitmap = new Bitmap(sourceBitmap.Width, sourceBitmap.Height);

            BitmapData resultData = resultBitmap.LockBits(new Rectangle(0, 0,
                                        resultBitmap.Width, resultBitmap.Height),
                                        ImageLockMode.WriteOnly, PixelFormat.Format32bppArgb);

            Marshal.Copy(pixelBuffer, 0, resultData.Scan0, pixelBuffer.Length);
            resultBitmap.UnlockBits(resultData);

            return resultBitmap;
        }
    }

下面是将Bitmap转换为BitmapImage的工具方法,以供WPF的Image控件使用图像:

 

    public static class SystemUtils
{
/// <summary> /// 转换类型:Bitmap --> BitmapImage /// <summary> /// <returns></returns> public static BitmapImage ConvertBitmapToBitmapImage(Bitmap bitmap) { using (MemoryStream stream = new MemoryStream()) { bitmap.Save(stream, ImageFormat.Png); stream.Position = 0; BitmapImage bi = new BitmapImage(); bi.BeginInit(); // According to MSDN, "The default OnDemand cache option retains access to the stream until the image is needed." // Force the bitmap to load right now so we can dispose the stream. bi.CacheOption = BitmapCacheOption.OnLoad; bi.StreamSource = stream; bi.EndInit(); bi.Freeze(); return bi; } } }

 


测试效果如下:


 

另外,关于图像的HSL(色相、饱和度、明度)的调节,可参考在下的另一篇博文:


 

 

参考资料:

https://softwarebydefault.com/2013/04/20/image-contrast/

 

posted @ 2017-07-17 17:03  霍莉雪特  阅读(2605)  评论(0编辑  收藏  举报