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Joint photographic experts group (JPEG) image compression method based on polygon clipping discrete cosine transformation (DCT)

An image compression and polygon technology, applied in image communication, television, electrical components, etc., can solve problems such as combination, reduction of DCT calculation amount, and less failure of cropping mode, so as to improve life cycle, reduce 2D DCT calculation amount, Reduce the effect of JPEG quantization

Inactive Publication Date: 2012-08-22
SOUTH CHINA UNIV OF TECH
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Problems solved by technology

According to the distribution characteristics of the frequency components of the DCT coefficient matrix, this type of method only calculates the DCT coefficients of the selected area and directly sets the other coefficients to zero, thereby reducing the amount of DCT calculation, but there are fewer clipping modes and cannot be effectively combined with the fast DCT algorithm.

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  • Joint photographic experts group (JPEG) image compression method based on polygon clipping discrete cosine transformation (DCT)
  • Joint photographic experts group (JPEG) image compression method based on polygon clipping discrete cosine transformation (DCT)
  • Joint photographic experts group (JPEG) image compression method based on polygon clipping discrete cosine transformation (DCT)

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Embodiment Construction

[0017] In order to make the purpose, technical solutions and advantages of the present invention clearer, the implementation of the present invention will be further described in detail below in conjunction with the accompanying drawings:

[0018] see figure 1 , the method includes the following steps:

[0019] Step 101 reads the uncompressed source image and converts it into brightness and color difference images, and then divides the image into row and column image blocks;

[0020] The above-mentioned luminance and color difference images are respectively Y and C r 、C b image, the C r 、C b The conversion relationship between image and RGB color space image is:

[0021] Y=0.299R+0.587G+0.114B;

[0022] C r =(0.500R-0.4187G-0.0813B)+128;

[0023] C b =(-0.1687R-0.3313G+0.500B)+128;

[0024] Step 102 adopts the combination method of AAN (Arai Agui Nakajima) fast DCT algorithm and polygon clipping DCT, and performs DCT calculation on the row and column image blocks acc...

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Abstract

The invention discloses a JPEG image compression method based on polygon clipping DCT, which includes reading original uncompressed images, transforming the images into luminance and chromatic aberration images, and dividing the luminance and chromatic aberration images into 8-line and 8-column image blocks; utilizing the method combining Arai Agui Nakajima (AAN) fast DCT algorithm with polygon clipping DCT, and performing calculation based on clipping coefficients to obtain DCT coefficients of the 8-line and 8-column image blocks; and quantizing and encoding the DCT coefficients respectively based on an AAN quantization table and a JPEG standard encoding table to obtain JPEG compression image data. According to the JPEG image compression method based on polygon clipping DCT, complete DCT transformation of 8-line and 8-column image blocks is not needed, instead, the calculating number of the DCT coefficients is adjusted flexibly according to the clipping coefficients, and the polygon clipping DCT is effectively combined with the AAN fast DCT algorithm, so that DCT, the calculated amount of image compression quality during the quantitative phase is greatly reduced in the condition that application filed requirements are satisfied.

Description

technical field [0001] The invention relates to a JPEG image compression method, in particular to a JPEG image compression method based on polygon clipping DCT. Background technique [0002] With the rapid development and maturity of wireless communication technology, embedded computing technology, and sensing technology, the Wireless Video Sensor Network (WVSN) has developed rapidly, which can collect and process the environment or monitoring objects in the network coverage area. Video data, and sent to the remote monitoring center, has been widely used in military, industrial and agricultural control, video surveillance, environmental monitoring and other fields. [0003] Due to the limited computing power, storage space, and energy of wireless video nodes and the large spatial redundancy of image data, in order to save resources and transmission bandwidth, nodes must encode images before transmitting data. Traditional compression methods such as JPEG2000 and SPIHT method...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N7/26H04N7/30H04N19/124H04N19/186H04N19/625
Inventor 刘桂雄吴国光谭勇
Owner SOUTH CHINA UNIV OF TECH
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