Image Processing using OpenCV in Java | Set 14 ( Sharpness Enhancement )

In this article we will learn how to enhance sharpness of an image using OpenCv library.
In order to enhance sharpness we will use Gaussian filter. Gaussian filter reduces the noise in the image and makes it look better (or higher resolution).

At first we need to setup OpenCV for java, we recommend to use eclipse for the same since it is easy to use and setup.For installation refer to http://docs.opencv.org/2.4/doc/tutorials/introduction/java_eclipse/java_eclipse.html

Methods required for sharpness enhancement.

1. GaussianBlur(source, destination, new Size(0, 0), sigmaX) – This method resides in Imgproc package of OpenCv.
   Syntax:

   Imgproc.GaussianBlur(source, destination, new Size(0, 0), sigmaX)
   parameters:
   source - source image
   destination - destination image
   new Size(0, 0) - Gaussian kernel size
   sigmaX - Gaussian kernel standard deviation in X direction
   

2. addWeighted(InputArray src1, alpha, src2, beta, gamma, OutputArray dst) - This method resides in Core package of OpenCv. Syntax:

   Core.addWeighted(InputArray src1, alpha, src2, beta, gamma, OutputArray dst)
   parameters:
   src1 - first input array
   alpha - weight of the first array elements
   src2 - second input array of the same size and channel number as src1
   beta - weight of the second array elements
   gamma - scalar added to each sum
   dst - output array that has the same size and number of channels as the input arrays
   

3. imread() - This method is used to read images as Mat objects which are rendered by OpenCV.
   Syntax:
   
   
   

   Imgcodecs.imread(filename);
   parameters:
   filename: filename of the image file.If the image is 
   in another directory whole path of image must be mentioned.
   

4. imwrite() - This method is used to write Mat objects to image file.
   Syntax:

   Imgcodecs.imwrite(filename, mat_img);
   parameters:
   filename: filename of the image file.If the image is 
   in another directory whole path of image must be mentioned.
   mat_img: resultant mat object.
   

Note: The code will not work in online ide since it requires image in hard drive.

Output:

input.jpg


output.jpg

Try to notice minor improvement in resolution

Please write comments if you find anything incorrect, or you want to share more information about the topic discussed above.