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a. Briefly describe any of the known methods for image compression, and illustrate how image compression can be achieved. b. Produce a code that can efficiently represent each pixel in the image tile of FigureB 2.b. What compression ratio did you achieve compared to a simple 4-bit per pixel binary code? 5 6 6 6 5 6 7 7 7 8 7 9 9 9 10 10 Figure B.2.b C. Quantise the image tile shown in Figure B .2.c.i, using the quantisation table given in Figure B 2.c.i. Decode this new image tile using the same quantisation table Figure B.2.c.ii, and calculate the root mean square error of the decoded image. 122 100 69 63 90 88 50 60 82 86 72 66 74 80 75 67 Figure B.2.c. Image Tile 3 5 7 9 5 7 9 11 7 9 11 13 9 11 13 15 Figure B.2.c.i Quantisation Table RMS Error is: I=N (-1 Where: X1 Original values x Values after processing N Number of samples d. Design a new quantisation table to reduce the root mean square error of the encoding/decoding process. Calculate your new root mean square error.

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