Processing Options

Allows you to set options for converting files.

Options:

Color Depth: 1-bit, 4-bit, 8-bit, 16-bit, 24-bit, or 32-bit

Use source image's path for conversion output

Delete source files after successful conversion

Delete source files to the Recycle Bin

Multi-page file behavior

Output multi-page files when supprted by destination format
Output single-page images for each frame of multi-page files
Output single-page images from the first page of multi-page files

Output file containing source list as pages if multi-page dest. selected

Allows you to set options for processing files.

Options:

Existing Files

Prompt to replace existing files
Append existing files with _____
>Auto-overwrite existing files

Apply Processing to Source Files

Trims the image, removing blank space, usually white space, around the edges.

Options: Threshold - 0 to 201

Trims the image, resulting in an image that is the size of the specified rectangle.

Options:

Left, Top, Width, Height. Values from 1 to 2048

Resizes the image, using interpolation and averaging to produce a higher-quality image than is achieved with normal resizing. This method will take more time to complete than the normal resize operation, however.

Options:

Resize to Values:

Preset or Custom values
Max Width - px
Max Height - px
Keep Aspect - true or false
Do not enlarge smaller images

Resize to Percentage: (Specify percentage of original image)

Resizes the image to a new width and height. This changes the storage requirements of the image, and is not the same as scaling the display - zooming out or zooming in.

Options:

Width - px

Height - px

Keep Aspect - true or false

Rotates the image by the degree specified, and lets you define the background color to be uncovered.

Uses the center of the bitmap as the center of rotation. It can rotate the bitmap clockwise or counterclockwise up to 360 degrees in hundredth-of-a-degree increments. It can resize the bitmap to accommodate the rotated height and width, or it can retain the original height and width, cropping the bitmap as necessary. It lets you specify the background color to fill any new area created by the rotation. Note - The only images that are interpolated are 8-bit grayscale images. For best results, all gray values should be in the image's palette. If the rotation doesn't give the expected results, you can call Grayscale - 8 to change the image into a proper grayscale image. 12-bit and 16-bit grayscale images that don't have a palette. Grayscale images can have a palette if they have been loaded from certain DICOM images 16-bit color images 24-bit, 32-bit, 48-bit and 64-bit color images.

Options:

Clockwise Angle

Resize

Background Color

Adds random pixels to the image, letting you specify the percentage of coverage and the color plane.

Options:

Level - 0 to 1000

Channel - Master, Red, Green, Blue

Smooths the jagged edges of the picture.

Options:

Threshold - 0 through 255

Mask Size - 1 through 25

Filter - Vertical and Horizontal, Omnidirectional, Omnidirectional - Alternate Filter, Horizontal, Vertical, Diagonal

Changes the color of each pixel in the image to the average color of pixels in its neighborhood. This results in a blur effect. You control the amount of blur by specifying the size of the neighborhood that is used for averaging.

Options: Sample size - 3 to 11

Removes borders from 1-bit images. To fine-tune the performance of this feature, try modifying the values for White Noise Length, Border Percent, and variance.

Options:

Border to remove - Left, Right, Top, Bottom

Border percent

White Noise Length

Variance

Changes the intensity, or brightness, of the image to the specified level.

Options: Percentage

Transforms the image to make it look like a 3D button by adding translucent bevels to the edges of the image.

Options:

Style - Rectangle, Rim, Round, Double Round

Bevel Width

Intensity

Converts the image from any bits-per-pixel to any bits-per-pixel, letting you specify the palette to use. Also, when converting to 16-bits per pixel or higher, you can specify RGB or BGR color order.

Options:

Bits Per Pixel - 1 to 8, 12, 16, 24, 32

Color Order - Blue-Green-Red, Red-Green-Blue

Converts the processed images to grayscale, then enhances the color components based on the specified parameters. You can use the Colored Gray Filter to give images an old-fashioned look by adding a blue or brown color. Red Value Weight + Green Value Weight + Blue Value Weight must equal 1000. The software divides each value by 1000.

For example, if you set the Red Value Weight set to 500, the Green Value Weight to 250, and the Blue Value Weight to 250, the red value of each pixel gets 50% of the weight when determining the grayscale value. The green value gets 25% of the weight, and the blue value gets 25% of the weight when determining the grayscale value. This highlights or enhances the red in the bitmap, prior to conversion to grayscale. Upon conversion to grayscale, the red, green, and blue components of the output pixel are the same. Call this value G. Therefore, the RGB values for the pixel would be (G, G, G).

Once the grayscale value for the pixel has been obtained, the red component of the output pixel can be further modified using the Red Weight Factor Modifier value. The equation for this is as follows:

Goutput-red = G + G * Red Weight Factor Modifier / 1000

The green and blue components are found similarly, using the Green Weight Factor Modifier and the Blue Weight Factor Modifier values, respectively.

The Red Weight Factor Modifier, Green Weight Factor Modifier, and Blue Weight Factor Modifier values can be negative. A negative value results in a decrease in pixel intensity. A positive value results in an increase in pixel intensity.

Options:

Red Value Weight

Green Value Weight

Blue Value Weight

Red Weight Factor Modifier

Green Weight Factor Modifier

Blue Weight Factor Modifier

Performs a contour segment filter on the bitmap.

Options:

Option: Thinned Image, Linked Image - Black and White, Linked Image - Grayscales, Linked Image - Color, Segment Approximation - Color

Threshold - 1 to 254

Delta Direction - 1 to 64

Maximum Error - 0 to 255, with 5 being the most commonly-used setting

Sets the contrast of the image.

Options: Percentage - -1000 to +1000

Finds and removes dots, specks, and blobs of various sizes in 1-bit documents. The dots, specks, and blobs may or may not be all black. This option works only on 1-bit black and white images.

Options:

Use DPI

Use Dot Dimensions

Use Diagonals

Dot Dimensions - Minimum and Maximum Dot Width

Applies an emboss effect to the image, letting you specify the depth and direction of the effect.

Options:

Direction - North, North-East, East, South-East, South, South-West, West, North-West,

Depth - 0 to 1000

Modifies the red, green, blue, and alpha channels of an image.

Options:

Red Added Component

Green Added Component

Blue Added Component

Red Multiplier

Green Multiplier

Blue Multiplier

Brigtens an image by enlarging the bright regions of the original image. The Strength option determines the extent of the brightening. Set the Strength to 10 for maximum erosions or to 1 for no erosion. This effect erodes the image using a 3 x 3 area of a pixel. If the average brightness of the local area is brighter than 255 minus the amount, the central pixel is replaced by its brightest neighbor.

Options: Strength

Adjusts the intensity of colors in the image by changing the gamma constant that is used to map the intensity values. Intensity values ideally follow a logarithmic progression, because the eye perceives changes in intensity as being equal when the ratio of change is equal. For example, we would see a change from 0.1 to 0.2 as being equal to a change from 0.2 to 0.4. Gamma is a standard constant that is used to calculate the progression. For most CRTs, the gamma constant is in the range of 2.2 to 2.5. Because this value is an unsigned integer, the value is 100 times the actual gamma value. For example, you must enter 235 in the Value box to set a gamma value of 2.35.

Options: Value - 1 to 499

Applies a type of filter that is especially good for grainy or speckled images. In this type of effect, pixel weights are not equal. They decrease from kernel center to edges according to a bell-shaped curve called Gaussian.

Each pixel in the image being processed is blurred based on neighborhood pixels. The Size parameter determines the size of the neighborhood to consider when blurring a pixel. The result is a blurred version of the original image.

Options: Size, 1 to 50

Converts a 1-, 4-, 8-, 16-, 24-, or 32-bit image to an 8, 12, or 16-bit grayscale image.

Options: Bits Per Pixel

Converts a 1-, 4-, 8-, 16-, 24-, or 32-bit image to a halftoned bitmap. A halftoned bitmap is a 1-bit bitmap that has been dithered for black and white printing or display. If the bitmap is originally 1-bit but is not black and white, this method changes it to black and white.

Options: Angle - -360 to 360

Increases or decreases the contrast of the image, using a histogram to determine the median brightness. This method finds the median brightness of the image; then brightens the pixels with values above the median and darkens the pixels with values below the median. This is more sophisticated, but slower, than the Contrast feature, which uses the middle possible value, 128, rather than finding the actual median.

Options: Percentage - -100 to 100

Linearizes the number of pixels per gray level in the bitmap. This can be used to bring out the detail in dark areas of an image.

Options: None

This feature detects and removes hole punches, common in scanned documents. The feature works only on 1-bit black and white images. Hole punch configurations may consist of 2 or more holes.

Options:

Use DPI

Use HolePunch Location

Use HolePunch Dimension - true or false

UseHole Punch Count - true or false

HolePunch Location - Left, Top, Right, Bottom

HolePunch Dimensions - Minimum Width, Minimum Height, Maximum Width, Maximum Height

HolePunch Count - Minimum Holes, Maximum Holes

Changes the hue of colors in the bitmap by rotating the color wheel. This feature can rotate the color wheel in either direction. A 180-degree rotation in either direction changes each color to its complement. Positive rotation takes red toward green, green toward blue, and blue toward red. Negative rotation has the opposite effect.

Options: Angle - -360 to 360

Filters the image to detect colors in a specified intensity range. Intensity levels range from 0 to 255 for each color plane, red, green, and blue. This feature processes each plane separately. If a value falls within the range, it is raised to 255, and if it falls outside the range, it is lowered to 0.

Options:

Low - 0 to 255

High - 0 to 255

Inverts the colors in the image, making it like a photographic negative. This feature can also be used to invert the color of a 1-bit image, making the black white and the white black.

Options:

Use DPI

Use Diagonals

Inverted Text Dimensions - Minimum Invert Width, Minimum Invert Height

Opacity - Minimum Black Percent, Maximum Black Percent

Removes horizontal and vertical lines in a 1-bit black and white image. This method removes horizontal and vertical lines from scanned text documents. If the lines pass through text, the parameters can be set to remove or preserve the text. This method works only on 1-bit black and white images. To fine-tune the performance of this feature, try modifying the values for Wall, Gap Length and variance.

Options:

Use DPI

Lines to Remove - Horizontal, Vertical

Dimensions - Minimum Length, Maximum Width, Wall Height, Max Wall Percent

Optional Processing - Line variance, Maximum Gap, Remove Entire Line

Erodes dark objects by the amount that you specify. This is a more controlled version of the omni-directional erosion filter that you can set with the Binary Filter option. You control the effect by specifying the size of the neighborhood that is used for calculating each pixel value. For example, for 8x8, pass a value of 8. Each pixel is replaced with the maximum value of its neighborhood.

Options Sample Size - 3 to 11

Changes the color of each pixel in the image to the median color of pixels in its neighborhood. This is similar to the Average method, but it is used for noise reduction, rather than a blur effect. You control the effect by specifying the size of the neighborhood that is used for calculating the median value. For 8x8, pass a value of 8.

Options: Sample Size - 3 to 11

Dilates dark objects by the amount that you specify. This is a more controlled version of the omni-directional dilation filter that you can set with the Binary Filter option. You control the effect by specifying the size of the neighborhood that is used for calculating each pixel value. For example, for 8x8, pass a value of 8. Each pixel is replaced with the minimum value of its neighborhood.

Options: Sample Size - 3 to 11

Imposes a mosaic effect on the image by dividing the image into tiles of a specified size and changing the color of all pixels in each tile to the average color of pixels within the tile.

Options: Tile Size

Increases or decreases the contrast of the image by the level, or percentage, that you specify.

Options:

Size

Angle

Unidirectional

Applies an oil-painting effect to the image. You control the effect by specifying the size of the neighborhood that is used for calculating the pixel value. For example, for 8x8, pass a value of 8. You increase the size of the neighborhood in order to decrease the amount of detail in the resulting image.

Options: Sample size - 3 to 11

Imposes a poster effect on the image by quantizing the image's colors to a specified number of color levels per plane. For example, two levels means two of red, two of green, and two of blue.

Options: Levels per color plane - 2 to 64

Produces a wave-like ripple effect on the image.

Options:

Frequency - 1 to 100

Height - 1 to 100

Direction - Horizontal, Vertical

Increases or decreases the saturation of colors in the image. Negative values decrease the saturation of colors. Positive values increase the saturation. The saturation level is increased or decreased by a percentage of its present saturation level. For example, an increase of 20% of the current saturation level L raises the new saturation level L1 to a value of L + 0.20 * L. Likewise, increasing the saturation level 100% doubles the saturation level, L1 = L + 1.0 * L. Decreasing the saturation level 100% sets the new saturation level to 0. This process is carried out for every pixel.

Options: Percentage - -1000 to 1000

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Processing Options

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