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this question is about images convert images into sepia color of the same image. this is the question: and this is the solution: *** your
this question is about images convert images into sepia color of the same image. this is the question:
and this is the solution:
*** your task is to comment through the code and explain it .
/// and if there a simple way to solve(to understand) rather than this without extra c functions or any other type of C , just using for loop and if statement includes round , float, double or int if possible can you write it down.
thanks in advance
Sepia Most image editing programs support a "sepia" filter, which gives images an old-timey feelby making the whole image look a bit reddish-brown. An image can be converted to sepia by taking each pixel, and computing new red, green, and blue values based on the original values of the three. There are a number of algorithms for converting an image to sepia, but for this task, use the following algorithm. For each pixel, the sepia color values should be calculated based on the original color values perthe below. sepiaRed = .393 * originalRed + .769 * originalGreen + .189 * originalBlue sepiaGreen = .349 * originalRed + .686 * originalGreen +.168 * originalBlue sepiaBlue = .272 * originalRed + .534 * originalGreen +.131 * originalBlue Of course, the result of each of these formulas may not be an integer, but each value could be rounded to the nearest integer. It's also possible that the result of the formula is a number greater than 255, the maximum value for an 8-bit color value. In that case, the red, green, and blue values should be capped at 255. As a result, we can guarantee that the resulting red, green, and blue values will be whole numbers between 0 and 255, inclusive. The function sepia should take an image and turn it into a sepia version of the same image. The values of a pixel's rgbtRed, rgbtGreen, and rgbtBlue components are all integers, so be sure to round any floating-point numbers to the nearest integerwhen assigning them to a pixel value! Il Convert image to sepia void sepia(int height, int width, RGBTRIPLE image[height][width]) { for (int i = 0; i MAX_VALUE) { SRed = MAX_VALUE;} if (SGreen > MAX_VALUE) { SGreen = MAX_VALUE; } if (SBlue > MAX_VALUE) { SBlue = MAX_VALUE;} image[i][j].rgbtRed = SRed ; image[i][j].rgbtGreen = SGreen ; image[i][j].rgbtBlue = SBlue }}}} Sepia Most image editing programs support a "sepia" filter, which gives images an old-timey feelby making the whole image look a bit reddish-brown. An image can be converted to sepia by taking each pixel, and computing new red, green, and blue values based on the original values of the three. There are a number of algorithms for converting an image to sepia, but for this task, use the following algorithm. For each pixel, the sepia color values should be calculated based on the original color values perthe below. sepiaRed = .393 * originalRed + .769 * originalGreen + .189 * originalBlue sepiaGreen = .349 * originalRed + .686 * originalGreen +.168 * originalBlue sepiaBlue = .272 * originalRed + .534 * originalGreen +.131 * originalBlue Of course, the result of each of these formulas may not be an integer, but each value could be rounded to the nearest integer. It's also possible that the result of the formula is a number greater than 255, the maximum value for an 8-bit color value. In that case, the red, green, and blue values should be capped at 255. As a result, we can guarantee that the resulting red, green, and blue values will be whole numbers between 0 and 255, inclusive. The function sepia should take an image and turn it into a sepia version of the same image. The values of a pixel's rgbtRed, rgbtGreen, and rgbtBlue components are all integers, so be sure to round any floating-point numbers to the nearest integerwhen assigning them to a pixel value! Il Convert image to sepia void sepia(int height, int width, RGBTRIPLE image[height][width]) { for (int i = 0; i MAX_VALUE) { SRed = MAX_VALUE;} if (SGreen > MAX_VALUE) { SGreen = MAX_VALUE; } if (SBlue > MAX_VALUE) { SBlue = MAX_VALUE;} image[i][j].rgbtRed = SRed ; image[i][j].rgbtGreen = SGreen ; image[i][j].rgbtBlue = SBlue }}}}Step by Step Solution
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