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Noise removal
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Automatic noise removal uses a powerful artificial intelligence algorithm that consumes significant computing resources and RAM. Use it with care, especially if end-users will work on entry-level desktops, Chromebooks and tablets.
Dirt, spots, scratches, glare, unwanted gradients, and other noise are a common problem when scanning low-quality sources such as newspapers or old books, or when taking photographs. These image defects can interfere with recognition, significantly reduce the accuracy of OCR, and may cause spots to be misrecognised as characters.
Aspose.OCR for JavaScript via C++ provides automated processing algorithms that remove noise from images before proceeding to recognition.
Noise removal automatically converts the image to black and white.
To automatically remove the noise from the image before recognition, set auto_denoising recognition setting to true.
var settings = Module.WasmAsposeOCRRecognitionSettings();
settings.auto_denoising = true;
Usage scenarios
Automatic noise removal is recommended for the following images:
- Photos, especially those taken in low light conditions.
- Old books.
- Newspapers.
- Postcards.
- Text with a photo or picture as a background.
- Scanned papers with spots and dirt.
However, noise removal can reduce recognition accuracy when working with poor-quality prints, as it can lead to the loss of important details, such as light punctuation or heavily fragmented characters.