Then the green and blue values will be equal to 0

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Then, the green and blue values will be equal to 0 before your demosaicing filter is executed. Then, you would need to assign the green and blue values based on the neighboring pixels. Your job is to calculate the values for the two colors that did not get accurately sensed as the camera took the picture for each pixel in the image. To perform the calculation, look at the surrounding adjacent pixel neighbors, find the ones that captured the color you are trying to calculate, and average these values. o Remember, color values go from 0 to 255. The values are integers. o Also, remember not to go out of bounds (off the array) in the 2-dimensional array of Pixel objects. o In the Pixel class, the getFilterColor() method returns the color that was captured at a pixel location. If p is a Pixel object, you may test if its accurate color is red by doing p.getFilterColor() == Pixel.RED . o The following image shows how to calculate the green and red values for a pixel whose accurate color value (color sensor used when taking picture) is blue. Below is a description of the code you should implement.
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Description of digital camera filter algorithm: For each pixel p in image // for each row and column in the image Set green count, blue count, and red count to 0 Set green total, blue total, and red total to 0 For each of 8 possible direct neighbors If neighbor pixel has filter color of green Update green total by adding neighbor’s green value Add one to green count If neighbor pixel has filter color of blue Update blue total by adding neighbor’s blue value Add one to blue count If neighbor pixel has filter color of red Update red total by adding neighbor’s red value Add one to red count If pixel p’s filter color is red Set blue in p to (blue total / blue count) Set green in p to (green total / green count) Else if pixel p’s filter color is green Set blue in p to (blue total / blue count) Set red in p to (red total / red count) Else if pixel p’s filter color is blue Set red in p to (red total / red count) Set green in p to (green total / green count) // after going through the entire image, state that all pixels now have all colors For each pixel p in image Set filter color to ALL Hint : Be sure to check the neighbor pixel exists before accessing the position in the array. Otherwise, you will go off the end of the array. For example, if the pixel p is in the top row, then there are no neighbors
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above it. So, you might have something like if(row > 0) {// get pixel at data[row-1] [col]}. PART B (1 point per filter below) 1. Write a class called Mirror that implements the Filter interface which mirrors the image across the vertical midline by reflecting the values on the left this midline to be the values on the right. The pixel values on the right-hand side of the image should be removed; instead, these values are found from the left-side of the image. See the FlipVerticallFilter class for an example of how to flip the picture vertically across the horizontal midline. Test your filter on an image after it has been demosaiced to be sure that it works as expected.
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  • Spring '14
  • AndrewM.Nuxoll

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