/* * Print information about images in the document. * Simple enumeration of image resources works with all products which include * the pCOS interface. However, PDFlib TET offers much more advanced image * retrieval features. * * Required software: pCOS interface 8 (PDFlib+PDI/PPS 9, TET 4.1, PLOP 5.0) * Required data: PDF document */ package com.pdflib.cookbook.pcos.resources; import com.pdflib.IpCOS; import com.pdflib.cookbook.pcos.pcos_cookbook_example; public class images extends pcos_cookbook_example { /* This is where the data files are. Adjust as necessary. */ private final static String SEARCH_PATH = "../input"; public void example_code(IpCOS p, int doc) throws Exception { System.out.println("File name: " + p.pcos_get_string(doc, "filename")); int imagecount = (int) p.pcos_get_number(doc, "length:images"); System.out.println("Image count: " + imagecount); for (int image = 0; image < imagecount; image += 1) { System.out.print(" Image " + (image + 1) + ", "); String objtype = p.pcos_get_string(doc, "type:images[" + image + "]/Filter"); if (objtype.equals("name")) { String filter = p.pcos_get_string(doc, "images[" + image + "]/Filter"); System.out.print("Filter=" + filter); } else if (objtype.equals("array")) { String filter = p.pcos_get_string(doc, "images[" + image + "]/Filter[0]"); System.out.print("Filter=" + filter); int filtercount = (int) p.pcos_get_number(doc, "length:images[" + image + "]/Filter"); for (int f = 1; f < filtercount; f++) { filter = p.pcos_get_string(doc, "images[" + image + "]/Filter[" + f + "]"); System.out.print("+" + filter); } } System.out.print(", " + (int) p.pcos_get_number(doc, "images[" + image + "]/Width") + "x" + (int) p.pcos_get_number(doc, "images[" + image + "]/Height") + ", "); System.out.print( (int) p.pcos_get_number(doc, "images[" + image + "]/bpc") + " bits per component, "); check_colorspace(p, doc, image); System.out.println(); } } private static void check_colorspace(IpCOS p, int doc, int image) throws Exception { String objtype = p.pcos_get_string(doc, "type:images[" + image + "]/ColorSpace"); if (objtype.equals("name")) { System.out.print(p.pcos_get_string(doc, "images[" + image + "]/ColorSpace")); } else if (objtype.equals("array")) { String cs = p.pcos_get_string(doc, "images[" + image + "]/ColorSpace[0]"); System.out.print(cs); if (cs.equals("Indexed")) { /* Print information about base colorspace */ String basepath = "images[" + image + "]/ColorSpace[1]"; objtype = p.pcos_get_string(doc, "type:" + basepath); if (objtype.equals("name")) { System.out.print(" " + p.pcos_get_string(doc, basepath)); } else { System.out.print(" (complex base color space)"); } } else if (cs.equals("Separation")) { /* Print information about alternate colorspace */ String altpath = "images[" + image + "]/ColorSpace[1]"; objtype = p.pcos_get_string(doc, "type:" + altpath); if (objtype.equals("name")) { System.out.print(" " + p.pcos_get_string(doc, altpath)); } else { System.out.print(" (complex alternate color space)"); } } } else if (objtype.equals("null")) { System.out.print("ImageMask"); } else { /* * Look at colorspaces.java for code that dissects * color spaces in full detail. */ System.out.print("(complex color space)"); } } public images(String[] argv, String readable_name, String search_path) { super(argv, readable_name, search_path); } public static void main(String argv[]) { images example = new images(argv, "Image XObjects", SEARCH_PATH); example.execute(); } }