Abstract: The embodiments discussed herein involve flood filling a region with anti-aliasing. In forming a fill region, a candidate pixel can be included in the region based on a color of the pixel and also a color of a neighbor of the point. The inclusion basis may be a color distance between a seed color and the points, and a color distance between the seed color and the point's neighbor. Points in the region may be weighted according to their color distance relative to the seed color, where the color distance can also take into account alpha values. Flood filling may be anti-aliased by assigning alpha values to pixels in gaps between corners of the fill region, where an alpha value may be proportional to a point's contribution to the gap. Dimples in a fill region may be tested for and used to determine which of two flood fill algorithms to use.

Abstract: The embodiments discussed herein involve flood filling a region with anti-aliasing. In forming a fill region, a candidate pixel can be included in the region based on a color of the pixel and also a color of a neighbor of the point. The inclusion basis may be a color distance between a seed color and the points, and a color distance between the seed color and the point's neighbor. Points in the region may be weighted according to their color distance relative to the seed color, where the color distance can also take into account alpha values. Flood filling may be anti-aliased by assigning alpha values to pixels in gaps between corners of the fill region, where an alpha value may be proportional to a point's contribution to the gap. Dimples in a fill region may be tested for and used to determine which of two flood fill algorithms to use.

Abstract: The embodiments discussed herein involve flood filling a region with anti-aliasing. In forming a fill region, a candidate pixel can be included in the region based on a color of the pixel and also a color of a neighbor of the point. The inclusion basis may be a color distance between a seed color and the points, and a color distance between the seed color and the point's neighbor. Points in the region may be weighted according to their color distance relative to the seed color, where the color distance can also take into account alpha values. Flood filling may be anti-aliased by assigning alpha values to pixels in gaps between corners of the fill region, where an alpha value may be proportional to a point's contribution to the gap. Dimples in a fill region may be tested for and used to determine which of two flood fill algorithms to use.

Abstract: The embodiments discussed herein involve flood filling a region with anti-aliasing. In forming a fill region, a candidate pixel can be included in the region based on a color of the pixel and also a color of a neighbor of the point. The inclusion basis may be a color distance between a seed color and the points, and a color distance between the seed color and the point's neighbor. Points in the region may be weighted according to their color distance relative to the seed color, where the color distance can also take into account alpha values. Flood filling may be anti-aliased by assigning alpha values to pixels in gaps between corners of the fill region, where an alpha value may be proportional to a point's contribution to the gap. Dimples in a fill region may be tested for and used to determine which of two flood fill algorithms to use.

Abstract: The embodiments discussed herein involve flood filling a region with anti-aliasing. In forming a fill region, a candidate pixel can be included in the region based on a color of the pixel and also a color of a neighbor of the point. The inclusion basis may be a color distance between a seed color and the points, and a color distance between the seed color and the point's neighbor. Points in the region may be weighted according to their color distance relative to the seed color, where the color distance can also take into account alpha values. Flood filling may be anti-aliased by assigning alpha values to pixels in gaps between corners of the fill region, where an alpha value may be proportional to a point's contribution to the gap. Dimples in a fill region may be tested for and used to determine which of two flood fill algorithms to use.

Abstract: A system or method of automated image processing that can automatically determine a color and transparency for a pixel with an observed color when given the pixel and a background reference color. A point in a color space can be automatically found by extrapolating in the color space based on two points in the color space that respectively correspond to or that respectively approximate the observed color and the given background reference color. A color for the given pixel that corresponds to or approximates the found point in the color space can also be calculated automatically. Based on the found point and the two points in the color space that respectively correspond to the observed color and the given reference color, a transparency for the pixel can be automatically found.

Abstract: The embodiments discussed herein involve flood filling a region with anti-aliasing. In forming a fill region, a candidate pixel can be included in the region based on a color of the pixel and also a color of a neighbor of the point. The inclusion basis may be a color distance between a seed color and the points, and a color distance between the seed color and the point's neighbor. Points in the region may be weighted according to their color distance relative to the seed color, where the color distance can also take into account alpha values. Flood filling may be anti-aliased by assigning alpha values to pixels in gaps between corners of the fill region, where an alpha value may be proportional to a point's contribution to the gap. Dimples in a fill region may be tested for and used to determine which of two flood fill algorithms to use.

Abstract: The embodiments discussed herein involve flood filling a region with anti-aliasing. In forming a fill region, a candidate pixel can be included in the region based on a color of the pixel and also a color of a neighbor of the point. The inclusion basis may be a color distance between a seed color and the points, and a color distance between the seed color and the point's neighbor. Points in the region may be weighted according to their color distance relative to the seed color, where the color distance can also take into account alpha values. Flood filling may be anti-aliased by assigning alpha values to pixels in gaps between corners of the fill region, where an alpha value may be proportional to a point's contribution to the gap. Dimples in a fill region may be tested for and used to determine which of two flood fill algorithms to use.

Abstract: The embodiments discussed herein involve flood filling a region with anti-aliasing. In forming a fill region, a candidate pixel can be included in the region based on a color of the pixel and also a color of a neighbor of the point. The inclusion basis may be a color distance between a seed color and the points, and a color distance between the seed color and the point's neighbor. Points in the region may be weighted according to their color distance relative to the seed color, where the color distance can also take into account alpha values. Flood filling may be anti-aliased by assigning alpha values to pixels in gaps between corners of the fill region, where an alpha value may be proportional to a point's contribution to the gap. Dimples in a fill region may be tested for and used to determine which of two flood fill algorithms to use.

Abstract: The embodiments discussed herein involve flood filling a region with anti-aliasing. In forming a fill region, a candidate pixel can be included in the region based on a color of the pixel and also a color of a neighbor of the point. The inclusion basis may be a color distance between a seed color and the points, and a color distance between the seed color and the points neighbor. Points in the region may be weighted according to their color distance relative to the seed color, where the color distance can also take into account alpha values. Flood filling may be anti-aliased by assigning alpha values to pixels in gaps between corners of the fill region, where an alpha value may be proportional to a point's contribution to the gap. Dimples in a fill region may be tested for and used to determine which of two flood fill algorithms to use.

Abstract: A visible digital watermark is applied to output images from a computer program. Various attributes of the watermark are modified from image to image, making the watermark difficult to remove. For example, a watermark indicating “not for commercial use” can be applied to all output images from the program. Such watermarking permits full functioning demonstration versions of the computer program to be freely distributed to users while commercial use is inhibited. This is accomplished by a minimal level of intrusiveness to file sharing capabilities between a commercial version of the software and a non-commercial version of the software.

Abstract: A system or method of automated image processing that can automatically determine a color and transparency for a pixel with an observed color when given the pixel and a background reference color. A point in a color space can be automatically found by extrapolating in the color space based on two points in the color space that respectively correspond to or that respectively approximate the observed color and the given background reference color. A color for the given pixel that corresponds to or approximates the found point in the color space can also be calculated automatically. Based on the found point and the two points in the color space that respectively correspond to the observed color and the given reference color, a transparency for the pixel can be automatically found.

Abstract: A visible digital watermark is applied to output images from a computer program. Various attributes of the watermark are modified from image to image, making the watermark difficult to remove. For example, a watermark indicating “not for commercial use” can be applied to all output images from the program. Such watermarking permits full functioning demonstration versions of the computer program to be freely distributed to users while commercial use is inhibited. This is accomplished by a minimal level of intrusiveness to file sharing capabilities between a commercial version of the software and a non-commercial version of the software.

Abstract: A visible digital watermark is applied to output images from a computer program. Various attributes of the watermark are modified from image to image, making the watermark difficult to remove. For example, a watermark indicating “not for commercial use” can be applied to all output images from the program. Such watermarking permits full functioning demonstration versions of the computer program to be freely distributed to users while commercial use is inhibited. This is accomplished by a minimal level of intrusiveness to file sharing capabilities between a commercial version of the software and a non-commercial version of the software.

Abstract: A high-precision multi-channel blending operation replaces a single pass blending operation to overcome distortions resulting from an insufficient number of bits available per pixel in a hardware frame buffer. A desired frame buffer configuration, with a fewer number of channels, and a larger number of bits available per channel than available for a single pass blending operation, is specified and allocated in memory. The same, fewer number of channels from a destination image are written into the frame buffer. The frame buffer is configured for blending, and the same, fewer number of channels from the source image are blended into the frame buffer. The contents of the frame buffer is written into a memory location. The above steps are repeated, until all of the channels have been blended and written into different parts of memory. The channel information from the memory locations are combined to form an image having a user-desired bit resolution.