Image Window - Image Menus
Change the color depth of an image to 24 bits, 8 bits, or 1 bit per pixel
Rotate an image by the desired amount
Modify the image brightness
Modify the image contrast
Invert the pixel colors of the image
Scale an image to the desired value.
Use binarization to convert color or gray scale images to black and white. This is best used for images that have been acquired by a digital camera which have uneven lighting. A slider controls the Background Removal that can eliminate noise and non-text objects from the image. Click here to learn more about the Contrast Equalize and Contrast Maximize options.
Filter a widely varying image background to more uniform values to make binarization more effective.
Makes darker pixels darker and lighter pixels lighter.
Straightens a skewed image, works on graphics and text. Deskew binarization is controlled by the Image->Binarize Enhance Contrast, Edge Enhancement and Background Removal functions.
Perform a biltaeral image processing filter to reduce noise followed by background subtraction. It will display a black and white denoised image.
Sharpen an unfocused or blurry image.
Straightens curved columns of text caused by either distortions from a book spine, perspective distortion or document skew. This function will also attempt to remove clipped columns and graphics abd will not straighten singles or coumns that are 4 lines or less. Straighten Columns binarization is controlled by the Image->Binarize Equalize Contrast, Maximize Contrast, and Background Removal settings.
Neural Warp is a neural network that will take any camera document image and automatically correct for lighting, perspective, page curl and background to create a "corrected" text aligned output image ready for OCR! The input image must either be grayscale or color or it will default to Straighten Columns on a black and white image. Neural Warp's binarization is controlled by the Image->Binarize Equalize Contrast, Maximize Contrast, and Background Removal settings.
Makes text outlines thicker.
Magnify 2X in each axis the currently displayed image, this same operation can also be done with the "+" hotkey.