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How to Increase Image Resolution using OpenCV

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by sneha@openweaver.com dot icon Updated: Apr 5, 2023

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Image resolution is the measure of how detailed an image is. The higher the resolution, the more detailed and clear the image. The resolution is measured in pixels per inch (PPI) or dots per inch (DPI). 



OpenCV (Open Source Computer Vision Library) is an open source programming library developed by Intel and first released in 1999. It is used for building computer vision applications. OpenCV focuses mainly on providing high-performance applications for real-time computer vision, including facial recognition, object tracking, motion estimation, and image processing. 



Using OpenCV, you can increase the resolution of an image by using the cv2.resize() function. 

  • This function takes an image as an argument and returns a new image with the specified size. 
  • To increase the image's resolution, you can specify a larger dsize, an argument specifying the size of the output image. 


Here's an example of how to increase image resolution using OpenCV. 



Fig1: Preview of the sample images used.



Fig2: Preview of the output that you will get on running this code from your IDE

Code


In this solution, we use OpenCv to increase the resolution of the Image.

Enhancing the resolution of an image

Lines of Code : 10dotLicense : Strong Copyleft (CC BY-SA 4.0)

Dependent Libraries : 
import cv2
import numpy as np

image = cv2.imread('1.jpg')
sharpen_kernel = np.array([[-1,-1,-1], [-1,9,-1], [-1,-1,-1]])
sharpen = cv2.filter2D(image, -1, sharpen_kernel)

cv2.imshow('sharpen', sharpen)
cv2.waitKey()

Instructions


  1. Install Jupyter Notebook on your computer.
  2. Open terminal and install the required libraries with following commands.
  3. Install OpenCV - pip install opencv-python
  4. Install Numpy - pip install numpy
  5. Copy the snippet using the 'copy' button and paste it into that file.
  6. Run the file using run button.


I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.


I found this code snippet by searching for " Enhance the resolution of image using OpenCv" in kandi. You can try any such use case!

Dependent Libraries


numpyby numpy

Python doticonstar image 23755 doticonVersion:v1.25.0rc1doticon
License: Permissive (BSD-3-Clause)

The fundamental package for scientific computing with Python.

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            numpyby numpy

            Python doticon star image 23755 doticonVersion:v1.25.0rc1doticon License: Permissive (BSD-3-Clause)

            The fundamental package for scientific computing with Python.
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                      opencv-pythonby opencv

                      Shell doticonstar image 3491 doticonVersion:72doticon
                      License: Permissive (MIT)

                      Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.

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                                opencv-pythonby opencv

                                Shell doticon star image 3491 doticonVersion:72doticon License: Permissive (MIT)

                                Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.
                                Support
                                  Quality
                                    Security
                                      License
                                        Reuse

                                          If you do not have OpenCV that is required to run this code, you can install it by clicking on the above link and copying the pip Install command from the OpenCV page in kandi.


                                          You can search for any dependent library on kandi like OpenCV / numpy.

                                          Environment Tested


                                          I tested this solution in the following versions. Be mindful of changes when working with other versions.

                                          1. The solution is created in Python3.9.6
                                          2. The solution is tested on OpenCV-Python 3.4.18.65 version.


                                          Using this solution, we are able to Increase Image Resolution using OpenCV library in Python with simple steps.


                                          This process also facilities an easy to use, hassle free method to create a hands-on working version of code which would help us to Increase Image Resolution.

                                          Support


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                                          2. For further learning resources, visit the Open Weaver Community learning page.


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