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JPEG is designed to take advantage of well-understood limitations in the human eye, particularly the fact that small color changes are not perceived as discretely as small brightness changes Clearly, JPEG is designed to compress images that will be viewed by people and, therefore, do not have to be absolutely faithful reproductions of the original image from which they were created A machine analysis of a JPEG.



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Figure 16-21 illustrates additional properties of the DataGrid control that allow you to customize its appearance. You can use Brushes, Styles, and Templates to control the appearances of most of the DataGrid s parts.

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Here is a very simple Java program excerpt that shows how the objects and methods you have seen so far combine to perform simple query processing. It retrieves and prints out the office number, city, and region for each office in the OFFICES table:

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// The connection object, strings and variables Connection dbconn; // the database connection Int num; // returned office number String city; // returned city String reg; // returned region String str1 = SELECT OFFICE, CITY, REGION FROM OFFICES ;





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// Create a statement object for executing the query Statement stmt = dbconn.createStatement(); // Carry out query method returns a ResultSet object ResultSet answer = stmt.executeQuery(str1); // Loop through ResultSet a row at a time while (answer.next()) { // Retrieve each column of data num = answer.getInt( OFFICE ); city = answer.getString( CITY ); reg = answer.getString(3); // Print the row of results System.out.println(city + } // Explicitly close the cursor and connection answer.close(); dbconn.close();

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Figure 16-21. Some of the important properties available for formatting the DataGrid control Figure 16-22 illustrates properties of the DataGrid associated with rows or cells the user selects.

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The methods used are straightforward and parallel the query-processing steps already seen for embedded SQL and C/C++ APIs. The ResultSet object maintains a cursor to note its current position within the query results. Its next method advances the cursor, row by row, through them. There is an explicit JDBC get method call to retrieve each column of data for each row. Java s strong typing and memory-protection schemes make this approach a requirement, but it carries significantly higher overhead than the C/C++ approach of binding program variables and having the database API automatically populate those variables when a next row is fetched. Finally, the close method call ends query processing.

image would certainly yield inferior results, but to the human eye it is perfectly acceptable Of course, the degree of loss that occurs during a JPEG transformation can be controlled by adjusting a variety of compression parameters relative to each other For example, file size and image quality can be adjusted relative to one another A medical image, which requires extremely high quality on the image output side, would require a large file size, while a compressed text document could easily suffer significant loss without losing readability, resulting in a very small file The hardware or software coders that create (compress) and expand (decompress) JPEG images are called CODECs If high image quality is not critically important, a low cost, higher loss CODEC can be used, thus reducing the overall cost of the deployed hardware or software solution.

The example also shows the two alternative methods for specifying which column s value should be retrieved by each get method call. You can specify the name of the column to be retrieved (used for the OFFICE and CITY columns), or its ordinal position within the columns of results (used for the REGION column). JDBC delivers this capability by overloading each of the get methods one version takes a string (column name) argument; the other takes an integer (column number) argument.

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