Lossless compression method applicable to Bayer image format

Abstract

The invention discloses a lossless compression method applicable to the Bayer image format, which comprises the following steps: carrying out correlation evaluation and calculation by separating a current pixel with the above part by a line of pixels and separating the current pixel with the left side by a column of pixels, adopting two storage lines of line 0 and line 1 to respectively store odd-numbered lines and even-numbered lines of pixel values, and using the line 0 to carry out the correlation evaluation if the current pixel is in the even-numbered line; using the line 1 to carry out the correlation evaluation if the current pixel is in the odd-numbered line; that is, giving corresponding values to variables of N1 and N2, then calculating L which is equal to min (N1, N2) and calculating H which is equal to ma multiplied by (N1, N2), and determining the encoding method according to the distribution position fallen by the current pixel value P. The lossless compression method does not need to carry out pre-treatment, can overcome the calculations of three-color channel decomposition or image structure conversion and the like, inherits the characteristics of fastness, high efficiency and capability of being applicable to physical realization with low power consumption and small area of the FELICS method, and has good compression effect.

Description

technical field

[0001] The invention relates to an image compression method, in particular to a lossless compression method suitable for Bayer image format. Background technique

[0002] At present, the vast majority of CCD and CMOS image sensors use a filter arrangement format called Bayer to record the three primary colors (red, green, blue, RGB) information of the image. This pattern is a red-green filter interval Alternate arrangement of rows and green and blue filters at intervals (such as figure 1 shown), so the Bayer format is the most common data output format for CMOS and CCD image sensors.

[0003] Although the Bayer format can save image transmission bandwidth and storage space compared with the full-color format, it is still necessary to compress the image in the Bayer format in some cases to further reduce the image size (such as low-power and small-volume embedded image sensors, or image sensors with resolutions up to millions or even tens of millions of pixe...

Examples

Embodiment Construction

[0028] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0029] The present invention proposes a lossless compression method suitable for the Bayer image format. According to the R, G, and B three-color channels, the method of evaluating the correlation by separating a row and a column is adopted, and the theoretical analysis and a large number of experiments have confirmed the effectiveness of this method. Rationality and practicality.

[0030] First of all, it is found through observation that although the Bayer format image ( figure 1 ) does not satisfy the FELICS required method of assessing correlation ( Figure 4 ), but its pixel P(x, y) is separated by one row (Top') and one column (Left') when x>2 and y>2 (x indicates row label, y indicates column label). The phenomen...

technical field

[0001] The invention relates to an image compression method, in particular to a lossless compression method suitable for Bayer image format. Background technique

[0002] At present, the vast majority of CCD and CMOS image sensors use a filter arrangement format called Bayer to record the three primary colors (red, green, blue, RGB) information of the image. This pattern is a red-green filter interval Alternate arrangement of rows and green and blue filters at intervals (such as figure 1 shown), so the Bayer format is the most common data output format for CMOS and CCD image sensors.

[0003] Although the Bayer format can save image transmission bandwidth and storage space compared with the full-color format, it is still necessary to compress the image in the Bayer format in some cases to further reduce the image size (such as low-power and small-volume embedded image sensors, or image sensors with resolutions up to millions or even tens of millions of pixe...

Examples

Embodiment Construction

[0028] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0029] The present invention proposes a lossless compression method suitable for the Bayer image format. According to the R, G, and B three-color channels, the method of evaluating the correlation by separating a row and a column is adopted, and the theoretical analysis and a large number of experiments have confirmed the effectiveness of this method. Rationality and practicality.

[0030] First of all, it is found through observation that although the Bayer format image ( figure 1 ) does not satisfy the FELICS required method of assessing correlation ( Figure 4 ), but its pixel P(x, y) is separated by one row (Top') and one column (Left') when x>2 and y>2 (x indicates row label, y indicates column label). The phenomen...

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