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There is no requirement that the Y component be sampled at higher frequencies than the Cb and Cr components It is possible to create a JPEG file with the Cb or Cr component having a higher sampling frequency than the Y component What makes sampling frequencies confusing when programming with graphics files is that generally the data you are dealing with has already been digitized Instead of converting analog data to digital, in JPEG programming sampling is generally used to reduce the amount of data from one or more components In most applications, what you are really doing with sampling frequencies is shrinking and stretching component values across multiple pixels When an image is compressed using JPEG, each component is assigned a horizontal and vertical sampling frequency that can range from 1 to 4 The higher the sampling frequency, the more data used for the component The number of samples for a component is relative to the maximum sampling frequency in each dimension for the image Say, for example, that Y has a horizontal sampling frequency of 4, Cb 2, and Cr 1 This means that in the horizontal direction there are 2 Y component values for every Cb value and 4 for every Cr value If, for each component, the vertical sampling frequency were the same as the horizontal sampling frequency, each Y component value would be mapped to a single pixel, each Cb component to 4 pixels, and each Cr component to 16 pixels Figure 44 illustrates such a sampling The process of reducing the number of data points a component contributes is called down-sampling An encoder can implement down sampling by encoding only every second, third, or fourth pixel or by aking an average value The reverse process of stretching down-sampled pixels is called up-sampling The simplest method for implementing down sampling is to repeat a data value across multiple pixels Sometimes filtering processes are used to reduce blocking effects.

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Introduction The implementation of this class is tailored for Microsoft Windows However, the interface is designed to conceal system-specific behavior The BitmapImage class has two main storage areas: the color map and the pixel data An application can store an image in a BitmapImage object by using one of the image decoders in this book (or one you write yourself) or by using the SetSize, ColorMap, and [] operators to write store raw image data SetSize The SetSize function allocates the dynamic memory used to store image data within a BitmapImage object An application must call this function before attempting to store image data into the object ColorMap The ColorMap functions are used to access the image's color palette For images with a bit depth of 8 or fewer the application must fill in the color map If the image has a bit depth of 24 this function should not be used [] (Subscript) Operator The subscript operator is used to access individual bytes in the image pixel data The format of this data depends upon the bit depth of the image For images that use 8 bits per pixel each data byte is an index into the color map (accessed through the ColorMap functions) If the bit depth is fewer than 8, multiple color indices are packed into the data bytes The higher-order bits contain the leftmost pixel values For 24-bit images each pixel is represented by 3 bytes The usual ordering for color bytes in a 24-bit image is RGB, but Windows expects the values in BGR order The BitmapImage class defines the values RedOffset, GreenOffset, and BlueOffset used by the programming examples to specify the ordering of these bytes If your system does not use BGR ordering, you can change the values of these offsets Another Windows'ism that the subscript operator conceals is Windows images will be stored starting with the bottommost row In order to make displaying an mage as easy as possible on Windows, this implementation of the BitmapImage class stores the rows in bottom-to-top order, as Windows expects them to be However, the subscript operator reverses the row order so that [ ] 0 returns the topmost row of the image Windows also expects the length of each image row to be a multiple of 4 bytes The subscript operator automatically takes this padding into account so that [N][0] always returns the first pixel byte for the Nth row By making the implementation of BitmapImage independent of the interface it is possible to change the implementation to support different systems without affecting the image encoders and decoders There are two implementations of the subscript operator If the CHECK_RANGE preprocessor symbol is defined, the subscript operator performs range checking on all values If CHECK_RANGE is not defined, no range checking is done The.

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Introduction The implementation of this class is tailored for Microsoft Windows However, the interface is designed to conceal system-specific behavior The BitmapImage class has two main storage areas: the color map and the pixel data An application can store an image in a BitmapImage object by using one of the image decoders in this book (or one you write yourself) or by using the SetSize, ColorMap, and [] operators to write store raw image data SetSize The SetSize function allocates the dynamic memory used to store image data within a BitmapImage object An application must call this function before attempting to store image data into the object ColorMap The ColorMap functions are used to access the image's color palette For images with a bit depth of 8 or fewer the application must fill in the color map If the image has a bit depth of 24 this function should not be used [] (Subscript) Operator The subscript operator is used to access individual bytes in the image pixel data The format of this data depends upon the bit depth of the image For images that use 8 bits per pixel each data byte is an index into the color map (accessed through the ColorMap functions) If the bit depth is fewer than 8, multiple color indices are packed into the data bytes The higher-order bits contain the leftmost pixel values For 24-bit images each pixel is represented by 3 bytes The usual ordering for color bytes in a 24-bit image is RGB, but Windows expects the values in BGR order The BitmapImage class defines the values RedOffset, GreenOffset, and BlueOffset used by the programming examples to specify the ordering of these bytes If your system does not use BGR ordering, you can change the values of these offsets Another Windows'ism that the subscript operator conceals is Windows images will be stored starting with the bottommost row In order to make displaying an image as easy as possible on Windows, this implementation of the BitmapImage class stores the rows in bottom-to-top order, as Windows expects them to be However, the subscript operator reverses the row order so that [ ] 0 returns the topmost row of the image Windows also expects the length of each image row to be a multiple of 4 bytes The subscript operator automatically takes this padding into account so that [ N][0] always returns the first pixel byte for he Nth row By making the implementation of BitmapImage independent of the interface it is possible to change the implementation to support different systems without affecting the image encoders and decoders There are two implementations of the subscript operator If the CHECK_RANGE preprocessor symbol is defined, the subscript operator performs range checking on all values If CHECK_RANGE is not defined, no range checking is done The.