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February 8, 2020 07:02
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This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -0,0 +1,37 @@ """ nn - function nearest neigbor to map pixels of scaled images to the original images for image interpolation. By default, assume that scale around (0, 0) Parameters: orgi_img I/P original image input scaled_img I/P scaled image input - 2d array of mapped pixels h_ratio I/P scaling ratio for height w_ratio I/P scaling ratio for width O/P color-filled image """ def nn(origi_img, scaled_img, h_ratio, w_ratio): """ nearest neighbor - a linear interpolation to fill pixels of scaled images by picking the neartest pixels """ #get height and width of scaled_img and origi_img height = scaled_img.shape[0] h = origi_img.shape[0] width = scaled_img.shape[1] w = origi_img.shape[1] #visit each pixel and map back to original image for row in range(height): x = round(row / h_ratio) if not x in range(h): #if out-of-bound, fill w/ zeros continue for col in range(width): y = round(col / w_ratio) #map to the nearest pixels if not y in range(w): #if out-of-bound, fill with zero continue else: scaled_img[row, col] = origi_img[x, y] return scaled_img """ end of nn """