Adaptive quantization compatible with the JPEG baseline sequential mode
First Claim
Patent Images
1. A method for type characterizing a pixel block representation of an image region, said pixel block including a plurality of pixel rows and a plurality of pixel columns;
- said method comprising;
inputting image signal data representing values for pixels in the pixel rows and pixel columns of the pixel block; and
obtaining spatial domain texture values for the respective rows and columns of said pixel block based on thresholded second order differences between the values of neighboring pixels in said rows and columns.
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Abstract
Pixel blocks of an input image are type classified based on an analysis of the secord differences between the values of neighboring pixels in the rows and columns of each pixel block. A histogram of these second order differences may be employed to refine this analysis
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Citations
6 Claims
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1. A method for type characterizing a pixel block representation of an image region, said pixel block including a plurality of pixel rows and a plurality of pixel columns;
- said method comprising;
inputting image signal data representing values for pixels in the pixel rows and pixel columns of the pixel block; and
obtaining spatial domain texture values for the respective rows and columns of said pixel block based on thresholded second order differences between the values of neighboring pixels in said rows and columns. - View Dependent Claims (2)
calculating histogram values to determine a numerical distribution of the texture values obtained for the pixel rows and pixel columns; and
determining the image type based on the distribution of the texture values.
- said method comprising;
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3. A method for type characterizing a pixel block representation of a region of an image, said pixel block having a plurality of rows and a plurality of columns, said method comprising:
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inputting image signal data representing values for pixels in the rows and columns of the pixel block;
calculating quantized first order differences between the values for neighboring pixels in said rows and columns using quantization thresholds that are selected to reject noise in said pixel values;
obtaining texture values along each of the rows and columns of said block by a second order spatial domain analysis of said quantized first order differences between the values of said neighboring pixels;
calculating histogram values to determine a numerical distribution of the texture values obtained for the pixel rows and pixel columns; and
determining the image type based on the distribution of the texture values.
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4. A segmenter comprising:
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a pixel block input for receiving a pixel block representation of a region of an image;
an image texture module that determines an image type of said pixel block of an image by calculating spatial domain texture values based on a second order differential analysis of quantized first order differences between values for neighboring pixels in rows and columns of the pixel block;
a pixel block type output for outputting said determined image type. - View Dependent Claims (5)
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6. A segmenter comprising:
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a pixel block input for receiving a pixel block representation of a region of an image;
an image texture module that determines an image type of said pixel block of an image by calculating spatial domain texture values along a plurality of pixel rows and pixel columns of the pixel block based on thresholded second order differences between the values of neighboring pixels in said rows and columns, calculates histogram values to determine a numerical distribution of the texture values obtained along the pixel rows and pixel columns, and determines the image type based on the distribution of the texture values;
a pixel block type output for outputting said determined image type.
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Specification