====== L07. For expressions ====== In this lab, we will use matrices to encode Bitmap images. The format is called BPM, and more details are available [[https://en.wikipedia.org/wiki/Netpbm#File_formats|here]]. Our format will be grayscale only. Each pixel of the matrix is encoded as an integer, with values from 0 to 255. Some examples are shown below: 0 0 1 0 0 0 1 0 1 0 0 1 1 1 0 letter A 1 0 0 0 1 1 0 0 0 1 5 4 3 2 1 5 4 3 2 1 5 4 3 2 1 shader 5 4 3 2 1 5 4 3 2 1 Add the following type definition for the rest of your lab: type Img = List[List[Int]] Also, in order to benefit from visualisation, instead of using a worksheet, you can create a new Scala project, containing an object with a main method: object Matrix { // define your functions here def main(args: Array[String]) = { // write your tests here } } **7.1.** Write a function which converts an image to a string (Hint: you can draw inspiration from a similar one from the lecture): def show(m: Img): String = ??? **7.2.** Write a function which performs a horizontal flip on an image. Try to first visualise (you may use pen and paper) how the transformation would look like. def hFlip(img: Img): Img = ??? **7.3.** Write a function which performs vertical flip. def vFlip(img: Img): Img = ??? **7.4.** Write a function which performs a 90 degrees rotation to the right. (Hint: you need an ingredient from the lecture. Also, note that there are multiple possible implementations.) def rot90Right(img: Img): Img = ??? **7.5.** Write a function which performs a 90 degrees rotation to the left. def rot90Left(img: Img): Img = ??? **7.6.** Write a function which inverts an image (values 0 become 255, 1 - 254, and so forth). **7.7.** Write a function which crops a given image, using two, two-dimensional coordinates: the higher-left point x and y, and the lower-right point x and y. An example is shown below: val img = List(List(0,0,1,0,0), List(0,1,0,1,0), List(0,1,1,1,0), List(1,0,0,0,1), List(1,0,0,0,1)) /* 0 0 1 0 0 * 0 1 0 1 0 1 0 1 * 0 1 1 1 0 cropping from 1,1 to 2,3 yields: 1 1 1 * 1 0 0 0 1 * 1 0 0 0 1 */ def cropAt(img: Img, xSt:Int, ySt:Int, xEnd: Int, yEnd: Int): Img = ?? **7.8.** Write a function which returns a list of all positions which have pixels of larger intensity than x def largerPos(img: Img, int: Int): List[(Int,Int)] = ??? **7.9.** Write a function which adds ''x'' to the intensity of each pixel. def contrast(x: Int)(img: Img): Img = ??? **7.10.** Write a function which takes two images ''X'' and ''Y'' and //glues// them on the horizontal axis (the resulting image will be ''XY'') def hglue(img1: Img, img2: Img): Img = ??? **7.11.** Write a function which takes two images ''X'' and ''Y'' and //glues// them on the vertical axis: def vglue(img1: Img, img2: Img): Img = ??? **7.12.** Define a function that takes a **square** image, and draws two diagonal lines of intensity 1 across it. Use ''_.until(_)'' and ''_.toList''. def diag(img: Img): Img = ??? **7.13.** Define a function which blurs an image as follows: * for each pixel p of intensity > 1: make all neighbouring pixels of intensity 0 equal to p-1 (including diagonals). * if some pixel of intensity 0 is in the vicinity of two different >1 pixels of different intensities, the one which is larger should be taken into account * to make the implementation easier, you do not need to implement the blur on the image edges. def blur(img: Img): Img = ??? **7.14. (!) ** Define a function which builds an effect of intensity x as shown below: val img2 = List( List(0,0,0,0,0,0,0,0,0), List(0,0,0,0,0,0,0,0,0), List(0,0,0,0,0,0,0,0,0), List(0,0,0,0,1,0,0,0,0), List(0,0,0,1,2,1,0,0,0), List(0,0,0,0,1,0,0,0,0), List(0,0,0,0,0,0,0,0,0), List(0,0,0,0,0,0,0,0,0), List(0,0,0,0,0,0,0,0,0) ) /* Before: After (for x = 2) 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 2 2 2 1 1 0 0 0 0 0 1 0 0 0 0 0 1 2 2 3 2 2 1 0 0 0 0 1 2 1 0 0 0 0 1 2 3 4 3 2 1 0 0 0 0 0 1 0 0 0 0 0 1 2 2 3 2 2 1 0 0 0 0 0 0 0 0 0 0 0 1 1 2 2 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Hint: a single foldRight is sufficient. Which is the list you should apply it on? */ def effect(intensity: Int, img: Img): Img = ???