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erences the sequence in the dictionary The longer the dictionary sequences are and the more frequently they are repeated in the uncompressed data, the greater the compression The trick in dictionary-based compression is how to transmit the dictionary in the compressed data The most common dictionary-based compression schemes in use are based upon those described by Abraham Lempel and Jacob Ziv (1977 and 1978), and known as LZ77 and LZ78, respectively LZ77 uses a sliding window into the uncompressed data to implement the dictionary1 LZ78 builds a dictionary dynamically from the uncompressed data GIF Compression LZW is a variant of the LZ78 process that was described in a paper by Terry Welsh of Sperry (now Unisys) in 1984 CompuServe adopted it for use in the GIF format shortly afterwards In the LZW method, the compressed data stream consists entirely of codes that identify strings in a dictionary The dictionary is initialized so that it contains each possible data value as a predefined string For example, if 8-bit data is being encoded, the dictionary initially contains 256 1-byte strings containing the values 0-255 The compression reads characters from the input stream and appends them to the current string until the current string no longer has a match in the dictionary At that point it outputs the code for the longest matching string, adds the nonmatching string to the dictionary (the matching string plus one character), and finally starts a new string that contains the first nonmatching character Each time a code is written to the output stream, an entry is added to the dictionary Algorithm 122 illustrates how the dictionary is created in the LZW process Here we are assuming that 8-bit data is being used and that the function Output writes 9-bit codes to the output stream Figure 125 shows how a sample string would be compressed using the LZW process The first column shows the string at each stage in the compression process; the second column shows the value written to the output stream at each stage; and the third column shows the new code that is created This input string in Figure 125 consists of 27 characters Using 8 bits per character, the string requires 216 bits The LZW process uses 20 literal values and dictionary codes to represent the string, so 9 bits are required to encode each LZW value, giving a total of 180 bits a reduction of 17% in the compressed version It takes only 33 codes to encode the same string repeated twice ( a 31% reduction) and 42 codes to encode it repeated hree times (a 41% reduction) The more repetition in the input stream, the greater the compression the LZW process gives.



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Once your control has been added to the Toolbox, it should how up in the list of available controls in the Data UI Customization options You can then select the control for inclusion in the drop-down list of controls in the Data Sources window for a data member of the appropriate type.

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Using the Data Sources window to generate bound controls is one easy way to set up your form and have the designer write the data-binding code for you However, your development team may have user interface designers who lay out your forms and don't know a thing about data binding, and other programmers who will do the coding to hook up the functionality for the forms Or you may just prefer to do the UI design step first, getting all your controls laid out, named, and so on, and then worry about connecting them to the data later Perhaps the data access and business layers from which your data is going to come are being developed in parallel, and the type definitions are not yet available to generate your controls from them Whatever the case, the Data Sources window also supports generating the data-binding code for controls that already exist on a form The process for using this capability is very simple If you have an existing control on the form, such as a text box or grid, you can drag an item from the Data Sources window onto that control If the item you are dragging is of a compatible type with the binding properties of the control, the designer generates the data-binding code to bind that control's default binding property to the data item This process works pretty much the same when the designer creates the control too, but it uses the existing control instead of generating the control instance on the form too So the designer still generates all the supporting components to support that data-binding scenario, including a binding source, binding navigator, as well as a data set and table adapter if the data item being dragged is a data table When you drag an item from the Data Sources window onto a control on the form, the mouse cursor changes to indicate what the resulting drop operation will do When you drag a Data Sources window item onto a blank area of the form, as discussed in the beginning of this chapter, the mouse cursor shows a little plus sign to indicate that controls will be added to the form When you drag a data item onto an existing control on the form, and that data item is compatible with the control for the purposes of data binding, the mouse cursor will display a small shortcut arrow, indicating that the drop will result in linking the data source item to the control Finally, if the data item being dragged is not compatible with the control the mouse is over, the mouse cursor will change to a circle with a slash to indicate that drop isn't allowed and will result in no action Compatibility is again riven by the type of the data item or member combined with what the default data-binding properties of the control are For example, if you drag a data member that is a string, numeric field, or property from a data source object onto a TextBox control that is already on the form, the designer will generate a binding source with the DataSource property set to the data source object, as well as a binding navigator tied to the binding source The designer will also generate the code to create a binding object tying the TextBoxText property to the data member using the binding source as the data source and will add that binding object to the textbox's DataBindings collection If the data member's parent object is a data table, a data set and table adapter will also be added to the form, along with the line of code in the form's Load event handler to fill the data set using the table adapter If you try to drag that same field onto a DataGridView control, you'll see a circle with a slash mouse cursor, indicating that a single-valued data member isn't compatible for data binding with a control intended for displaying collections of data However, if you drag the parent data table onto the grid, all the same supporting components described earlier in this section would be generated, and the grid's DataSource property would be set to the binding source that was generated and bound to the table.

Graphics Interchange Format (GIF) is a common format for images that appear on Web pages GIF uses Lempel-Ziv-Welch (LZW) compression to minimize file size No information is lost in the compression process; a decompressed mage is exactly the same as the original GIF files can use a maximum of 8 bits per pixel, so they are limited to 256 colors.Portable Network Graphics (PNG) format provides the advantages of the GIF format but upports greater color depth PNG files can store colors with 8, 24, 32, or 48 bits per pixel, and grayscales with 1, 2, 4, 8, or 16 bits per pixel PNG also supports alpha channel, so it's a suitable format for storing images that support a high number of colors with transparency. Encode Barcode In Java Using Barcode creator for Java .Related: EAN-13 Generation .NET , Generate ITF-14 C# , Generate Data Matrix ASP.NET

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Code Sizes Up to now we have assumed that we are using 9 bits to represent dictionary codes and literal values in the compressed data stream If we have an input stream larger than 256 bytes we need to use 10 bits to represent each value Larger input streams can require even larger code sizes Since choosing a code size that is too large gives poor compression, how would you select a code size that is suitable for most situations The solution to this problem in LZW compression is to use varying code sizes At the start of the compression process, each value s stored using the Format EAN-13 Maker In Java Using Barcode generation for .

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