A Hardware-Based Adjustable Lossy Compression Method
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A compression method and an adjustable technology, applied in the field of image processing, can solve the problem of high computational complexity and achieve the effect of reducing the amount of calculation
Active Publication Date: 2022-01-07
新岸线(北京)科技集团有限公司
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[0003] In order to meet the requirements of different compression ratios and image quality, and make it easier for the algorithm to be implemented at the hardware level (for example, the existing commonly used jpeg lossy compression method has too high computational complexity and is difficult to implement based on hardware), so the study of hardware-based Regulating lossy compression methods has important practical significance
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Embodiment 1
[0040] see figure 1 , the existing compression methods are as follows:
[0041] Step 101: Divide the input image into blocks, and transform each macroblock to obtain image transformation result parameters;
[0042] Step 102: Summarize and organize the parameters of the image transformation results to obtain a list of image compression parameters;
[0043] Step 103: Encoding and compressing the image according to the image compression parameter list to obtain a compressed image file;
[0044] Embodiment 1 of the present invention improves on the basis of the existing compression method to realize adjustable lossy compression. The improved compression method is specifically:
[0045] A hardware-based compression method for adjustable lossy compression, such as figure 2 As shown, the method includes:
[0046] Step 201: divide the input image into blocks, calculate the pixel mean value and pixel range of each macroblock and save them;
[0047] Step 202: Determine whether the...
Embodiment 2
[0087] see image 3 , the existing decompression method is specifically:
[0088] Step 301: Decompress according to the compressed image file to obtain an image compression parameter list;
[0089] Step 302: Decoding according to the image compression parameter list to obtain a parameter list of each macroblock transformation result;
[0090] Step 303: Perform inverse transformation on the parameter list of each macroblock transformation result and summarize to obtain a decompressed image.
[0091] Embodiment 2 of the present invention improves on the basis of the existing decompression method, corresponds to the improved compression method in Embodiment 1, and realizes adjustable lossy compression. The improved decompression method is specifically:
[0092] A hardware-based decompression method for adjustable lossy compression, such as Figure 4 As shown, the method includes:
[0093] Step 401: Decompress according to the compressed image file to obtain an image compressi...
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Abstract
This application discloses a hardware-based adjustable lossy compression method. The technical solution adopted by this application is: divide the input image into blocks, and calculate the pixel mean value and pixel range of each macroblock; when the pixel range is greater than When setting the threshold, quantize each macroblock to obtain a macroblock transformation result parameter list; when the pixel extreme difference is not greater than the set threshold, set the macroblock transformation result parameter list according to the pixel mean value; according to the macroblock transformation result parameter list list to obtain the image compression parameter list, and write and compress the image compression parameter list to obtain a compressed image file. By adopting the technical solution of the present invention, the amount of calculation can be greatly reduced, and only a small amount of addition, subtraction and comparison operations can be easily realized in the hardware environment; and the present invention provides adjustable parameters such as transformation thresholds, which can It is more flexible to select the optimal result that suits the current needs and adapt to various compression needs.
Description
technical field [0001] The invention relates to the field of image processing, in particular to a hardware-based adjustable lossy compression method. Background technique [0002] During image or video transmission, due to the limitation of transmission bandwidth and transmission rate, it is necessary to compress the transmitted video or image. Due to the huge amount of original sampling data, the limited storage capacity of the memory, and the limitations of factors such as bandwidth and transmission rate during data transmission, the lossy compression of high-compression ratio image or video files is imperative. [0003] In order to meet the requirements of different compression ratios and image quality, and make it easier for the algorithm to be implemented at the hardware level (for example, the existing commonly used jpeg lossy compression method has too high computational complexity and is difficult to implement based on hardware), so the study of hardware-based Regul...
Claims
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