Consistency
When processing images from different sources or under various lighting conditions, inconsistency can arise. Normalizing images helps standardize them, which improves the reliability of any subsequent analysis.
Normalize
Normalize and Convert to WEBP
Why Normalize an Image?
Improved Accuracy
By reducing the impact of varying intensity ranges, image normalization improves the accuracy of image analysis techniques, such as object detection and segmentation.
Medical Imaging
In medical imaging, image normalization is crucial for accurate diagnosis. For instance, in MRI scans, normalization helps to reduce the impact of varying intensity ranges, allowing for more accurate segmentation of tumors.
Configure the form below and click Normalize and Convert to WEBP
Format Options
Lossless
Quality
Range (0-100)
Compression Level
Higher values give better quality for a given size at the cost of increased encoding time
Normalize
Enable
Filename
Enable
Postfix
Adds a piece of text to the filename before the period (.)
Meta Data
Remove All
What is the difference between image normalization and image standardization?
Image normalization adjusts the intensity values of an image to a common scale, while image standardization subtracts the mean intensity value from each pixel and then divides by the standard deviation.