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A Bayer Image Compression Method

An image compression and image technology, applied in the field of image processing, can solve problems such as inability to achieve high compression ratio and restore image quality, and achieve the effects of improving compression ratio, eliminating correlation, and reducing hardware power consumption

Active Publication Date: 2017-09-29
TSINGHUA UNIV
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

[0009] The technical problem to be solved by the present invention is: how to provide a Bayer image compression method to overcome the problem that the prior art cannot simultaneously obtain a higher compression ratio and better restored image quality with less computational complexity

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  • A Bayer Image Compression Method

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specific Embodiment approach

[0057] Such as figure 1 As shown, the present embodiment provides the specific implementation of a kind of Bayer image compression method that the present invention proposes, mainly comprises the following steps:

[0058] Step S1, transform the RGB color space of the Bayer image into a new color space to eliminate the correlation of the RGB color space, and record the new color space as the Bayer-YCgCo color space.

[0059] Specifically, this step mainly includes:

[0060] S11. Expand the Bayer image so that the number of rows is a multiple of 8 or 16 and the number of columns is also a multiple of 8 or 16. In this way, in the following steps, after each component matrix of the color space is obtained, it can be divided into 4×4 or 8×8 unit square matrices according to the size of the image.

[0061]For rows or columns that are not a multiple of 8 or 16, you can add all-zero rows or all-zero columns for filling, or you can take the same line as the last row of the original B...

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Abstract

The invention discloses a Bayer image compression method, and relates to the technical field of image processing. The method mainly comprises the following steps: S1, an RGB color space of a Bayer image is transformed to a new color space Bayer-YCgCo to eliminate the correlation of the RGB color space; S2, each component matrix of the color space Bayer-YCgCo is orthogonally transformed to obtain a frequency coefficient matrix, and all the frequency coefficient matrixes are quantized; S3, the quantized frequency coefficient matrixes are rearranged and converted into one-dimensional vectors, the one-dimensional vectors are entropy-coded and converted into frame data, and the frame data is sent; and S4, the frame data is received, inversely quantized and inversely transformed, and the image is reconstructed. By adopting the Bayer image compression method disclosed by the invention, a high image compression ratio can be provided, the computational complexity can be reduced, the power consumption of hardware is low, the subjective quality of a reduced image can be improved, and viewing is convenient.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a Bayer image compression method. Background technique [0002] The wireless endoscope system is an important system for acquiring images in the biological cavity. Its appearance not only brings great convenience to the examination of the gastrointestinal tract, but also eliminates the pain of the patient under examination, and can check routine Blind areas of the small bowel that cannot be examined by endoscopy. [0003] In the wireless endoscope system, the image compression technology can effectively improve the performance bottleneck of the system, for example, increase the frame rate of image acquisition and reduce the power consumption of the internal system and so on. Existing technologies applied to image compression mainly include the following two categories: one is lossless / quasi-lossless image compression, this type of image compression method can provide hi...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N19/91G06T7/90
Inventor 张寓弛谷荧柯谢翔李国林王志华
Owner TSINGHUA UNIV