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Convert Low Resolution Images to High Resolution using OpenCV

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by aryaman@openweaver.com dot icon Updated: Mar 30, 2023

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OpenCV (Open-Source Computer Vision) is an open-source and free-to-use library. It is used for computer vision and machine learning techniques. It is used in various processes, such as video stabilization, image processing, and object detection. It is written in C++ but offers interfaces for Python, Java, and C#, as well as other computer languages. With Windows, Linux, and macOS support, OpenCV is widely used in academic and industrial projects. 

Code

In this solution, we use the morphology function of the Opencv library

Save image in Full HD size using OpenCv Python

PythondotLines of Code : 25dotLicense : Strong Copyleft (CC BY-SA 4.0)

Dependent Libraries : 
import numpy as np
import cv2

cap = cv2.VideoCapture(0)
cap.set(3, 1920)
cap.set(4, 1080)
cap.set(6, cv2.VideoWriter.fourcc('M', 'J', 'P', 'G'))

while(True):
    # Capture frame-by-frame
    ret, frame = cap.read()

    # Our operations on the frame come here
    #gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

    # Display the resulting frame
    cv2.imshow('frame', frame)
    cv2.imwrite('a.jpg',frame)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

# When everything done, release the capture
cap.release()
cv2.destroyAllWindows()
  1. Copy the code using the "Copy" button above, and paste it in a Python file in your IDE.
  2. Video starts. After pressing the quit key(q), image automatically saved
  3. Open the saved image file to see the output image.

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

Dependent Libraries

opencvby opencv

C++ doticonstar image 69456 doticonVersion:4.7.0doticon
License: Permissive (Apache-2.0)

Open Source Computer Vision Library

Support
    Quality
      Security
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          Reuse

            opencvby opencv

            C++ doticon star image 69456 doticonVersion:4.7.0doticon License: Permissive (Apache-2.0)

            Open Source Computer Vision Library
            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.

                      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 Python3.11. 
                      2. The solution is tested on OpenCV-Python 4.7 version. 

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