Image enhancement options in EnhanceImage action
Improve the quality of an image that you have uploaded in the EnhanceImage action by using additional options available.
| Option | Use |
|---|---|
| Grayscale | Convert the color pixels in an image to
grayscale. Recommended: Convert color images to grayscale to improve the OCR extraction accuracy. |
| Blur |
Smoothen out areas that are pixelated and improve image quality. Recommended values: Any odd number (such as 3, 7, and 11), as long as it is less than the pixel size of the uploaded image. |
| Sharpen |
Improve clarity by removing distorted and blurred aspects of the original image. Consider a scenario where you have an image file called ImageA. When you apply Gaussian blur = 5 to this image, a blurred version of this image is created called ImageB. You can then use the following Sharpen parameters:
The following formula is applied for output: Output = ImageA*Alpha + ImageB*Beta + Gamma Where:
Nota: The principal use of the preceding
equation is to sharpen an image by removing the blurriness
from the original image.
Recommended values:
|
| Denoise |
Smoothen out pixels that are not grayscale to remove distortion or speckling from the image. Recommended value: 21. However, it can be any odd number as long as it is less than the pixel size of the uploaded image. |
| Contrast |
Increase or decrease the contrast of the pixels. Values can range from 0 (no change) to 2 (maximum contrast). Recommended values: From 0.8 through 2. |
| Brightness | Increase
or decrease the brightness level of all the pixels in the image.
Values can range from -100 (minimum contrast) to 100 (maximum
contrast), with 0 representing no change. Recommended values: From 0 through 100 |
| Thresholding | Segment an image. For example, if the uploaded image has many
elements, you can use this option to locate specific objects or
highlight boundaries within that image. Recommended value: From 0 through 255 |
| Remove RGB | Provide upper and lower bound values to pixels in a color image. Pixels in a color image are represented by three primary color channels: red, green, and blue (RGB). The output of this effect is a binary image with pixels that are black (0) or white (255). Consider a scenario where you want to transform high-intensity red pixels in the range of 200 to 255 to white (255). You can set the lower bound for red to (200,0,0) and upper bound to (255,0,0). |