Fixed Palette Algorithm Before Image Processing
A fixed palette algorithm refers to a method in image processing where the color palette is predefined before the image is processed.There are many ways to predefine a palette, which can be based on specific applications and prior knowledge. Studies have shown that the human eye is most sensitive to shades of green and less sensitive to blue. Therefore, palette settings can be optimized based on human visual characteristics. For example, the color cube can be divided into 6 levels for red, 7 levels for green, and 6 levels for blue.
The key feature of the fixed palette algorithm is that the palette is not determined by the color distribution of the image, but is instead preset in advance. While color statistics algorithms calculate the color information from the image, fixed palette algorithms do not involve such computations. This approach can significantly improve the efficiency of color compression in images.
However, this algorithm also has major drawbacks. If an image contains similar colors, the result may be unsatisfactory. For instance, in an image of a field that includes grass green, onion green, dark green, and light green, applying a fixed palette algorithm for color compression may result in all four greens being represented by the same shade. This leads to a loss of subtle color differences in the image, producing results that are clearly unsatisfactory. Therefore, fixed palette algorithms are not suitable for images with concentrated color distributions.
| 0 Comments |
|---|