This article explains how to remove noise from image using Python. You will get details to set the IDE, a list of steps, and a sample code for the photo noise reduction using Python. Various details will be provided for customizing the noise removal process from the image.

Steps to Remove Noise from Photo using Python

1. Set the environment to use Aspose.OCR for Python via Java to reduce the image noise
2. Import the OCR library into the application and load the license
3. Instantiate the OCR engine with the AsposeOcr class
4. Build the Median preprocessing filter using the PreprocessingFilter class
5. Prepare the input using the OcrInput by setting the input type and denoising filter
6. Run the recognition process using the recognize() method
7. Access the returned collection and display it on the console

These steps describe the picture noise reduction using Python. Apply the license, build the preprocessing filter using the Median option, declare the OcrInput object with a single image and defined filter, and load the target image into the input object. Finally, run the recognition process by calling the recognize() method with the input object, and display the resultant text string.

Code for Image Noise Reduction using Python

The above sample code demonstrates the image denoiser using Python. The AsposeOcr is the main entry point for optical character recognition that can be used for text, image and document processing. A variety of options are available to input data for recognition, such as Base64 string, a directory containing multiple images, PDF, TIFF, URL, and ZIP as well.

This article has shown the process to remove noise. To convert the scanned PDF to an editable PDF, refer to the article Convert scanned PDF to editable PDF using Python.