This quick tutorial explains how to remove noise from image using Java. It has details to set the IDE, a list of steps, and a sample code for the photo noise reduction using Java. Various techniques will be discussed for preprocessing images before applying OCR.

Steps to Remove Noise from Photo using Java

1. Set the environment to use Aspose.OCR for Java for reducing image noise
2. Import all the necessary classes and enumerations required for the application
3. Set the license to avoid trial version limitations
4. Create an instance of the OCR engine
5. Create an object of the PreprocessingFilter class and set the filter type to Median
6. Create the OcrInput instance and set its input type and desired filter
7. Load the target image into the OcrInput instance
8. Run the Recognize() method and fetch the list of recognition results
9. Display the recognized text

This step-by-step guide explains how to perform image noise reduction in Java. Commence the process by creating the OCR engine using the AsposeOCR class, build the Median preprocessing filter using the PreprocessingFilter class. Next, prepare the input object using the above-mentioned filter, run the recognition process, and display the text from the API response.

Code for Picture Noise Reduction using Java

This code demonstrates the process of image denoising using Java. The PreprocessingFilter supports image processing methods such as denoising, binarization, etc., which can be used in combination as well if required. The OcrInput container class holds the input type and the desired filter, where the input type can be set to a directory, scanned PDF, TIFF, URL, or Base64 stream if required.

This article has shown us how to preprocess images before OCR. To extract text from a scanned PDF, refer to the article How to Extract Text from Scanned PDF in Java.