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Remote sensing image near-lossless compression hardware realization method based on improved JPEG-LS algorithm

A technology of hardware implementation and remote sensing image, which is applied in image communication, electrical components, digital video signal modification, etc. It can solve the problems of long critical path, affecting system running speed, and unguaranteed calculation accuracy, etc., and achieves less critical path delay and efficient It is beneficial to the system operation speed and the obvious effect of speed advantage

Inactive Publication Date: 2011-02-09
BEIJING RES INST OF SPATIAL MECHANICAL & ELECTRICAL TECH
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  • Claims
  • Application Information

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Problems solved by technology

[0005] (1) Since the reconstruction value is needed to predict the following pixels instead of the actual value during encoding, and it takes several clock cycles to obtain the reconstruction value using the standard algorithm, it is difficult to compress the image timely and quickly by using this method;
[0006] (2) When calculating the context Q, multi-step serial calculations are required to calculate the Q value, the critical path is long, and it is difficult to meet the needs of real-time processing;
[0008] (4) When calculating the residual value, the floating-point multiplication is used in the quantization and inverse quantization of the standard algorithm, the calculation accuracy cannot be guaranteed, the calculation complexity is high, and it is difficult to meet the needs of fast processing;
[0009] (5) When parameter variables are updated, the standard algorithm involves more addition and subtraction operations and logical judgments, and many operations are serial operations, with high computational complexity, which affects the improvement of the operating speed of the entire system

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  • Remote sensing image near-lossless compression hardware realization method based on improved JPEG-LS algorithm
  • Remote sensing image near-lossless compression hardware realization method based on improved JPEG-LS algorithm
  • Remote sensing image near-lossless compression hardware realization method based on improved JPEG-LS algorithm

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Embodiment Construction

[0032] like figure 1As shown, it is a flow chart of the method for implementing the remote sensing image compression hardware based on the improved JPEG-LS of the present invention. First, the pixel reconstruction value of the input image is directly calculated by the actual pixel value of the input image, and then the context variable Q is calculated according to the obtained pixel reconstruction value. If Q is equal to 0, run-length coding is performed, otherwise, conventional coding is performed. When performing conventional encoding, firstly, according to the geometric position relationship between the current pixel and its adjacent pixels, the predicted value of the current pixel is calculated by using the obtained pixel reconstruction value, and then the residual value between the predicted value and the actual value of the current pixel is calculated, and then the Quantization processing is performed on the obtained residual value, Golomb encoding is performed on the qu...

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Abstract

A remote sensing image near-lossless compression hardware realization method based on improved JPEG-LS algorithm comprises the steps (1) directly calculating to obtain a pixel reconstruction value by the pixel actual value of an input image and accomplishing the calculation in a single clock period by using a formula Rx=int[Ix / (2Near+1)]*(2Near+1), in the formula, the Rx and the Ix are respectively the pixel reconstruction value and actual value, the int is rounding operation, and the Near is a compression ratio control factor; (2) calculating a context environmental variable Q according to the obtained pixel reconstruction value, if Q is equal to 0, performing run coding, otherwise, going to a step (3) of performing conventional coding; (3) calculating the predictive value of the currentpixel by the pixel reconstruction value according to the geometric position relation between the current pixel and the adjacent pixel; (4) calculating the residual value between the predictive value and actual value of the current pixel; and (5) performing Golomb coding after quantising the obtained residual value, and synchronously updating the parameter variable corresponding to the context environmental variable Q using the quantisation result.

Description

technical field [0001] The invention relates to an image compression method, in particular to an image data near lossless compression hardware implementation method based on the improved JPEG-LS algorithm. Background technique [0002] JPEG-LS (Information Technology-Lossless / near-lossless compression standard for continuous-tone still images) algorithm is an image compression standard formulated by the Joint Photographic Experts Group. Compared with other compression algorithms, JPEG- LS has higher compression performance in the field of lossless and near-lossless compression. JPEG-LS is developed on the basis of LOCO-1 algorithm, which achieves the purpose of compression by encoding the prediction residual value based on context. The JPEG-LS standard algorithm uses two modes to encode pixels—run-length mode and normal mode. The normal mode performs Golomb coding on the prediction residual, while the run-length mode encodes the run-length, so that smooth images can be comp...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N1/41H04N7/26H04N19/124H04N19/13H04N19/136H04N19/436H04N19/93
Inventor 武文波王琨陈大羽雷宁王庆元李涛
Owner BEIJING RES INST OF SPATIAL MECHANICAL & ELECTRICAL TECH
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