Parallel Image Color Enhancement Method

Abstract

The invention relates to a parallel image color enhancement method, which includes: step 1, loading image data, calculating three-dimensional table look-up coefficients and interpolation weights; the three-dimensional table look-up coefficient is the index corresponding to the table entry of the look-up table for each individual color channel Coefficient; step 2, based on the lookup table, obtain the RGB three-channel table lookup results required for interpolation through the table lookup operation; step 3, calculate the RGB value of each interpolation point based on the table lookup result in step 2 and the interpolation weight, and output result. The invention also proposes a parallel image color enhancement device, which includes a local memory, a memory access control unit, a buffer, a parallel arithmetic logic unit, a parallel multiply-accumulator, a state machine, and a data interleaving unit. The invention enhances image color, improves data usage efficiency, reduces data interaction between computing components and peripheral memories, reduces memory access bandwidth pressure, and realizes reuse of hardware resources.

Description

technical field [0001] The invention belongs to the field of video image processing, and in particular relates to a parallel image color enhancement method and device. Background technique [0002] At present, one of the mainstream development directions of video technology is ultra-high-definition (4K resolution) display technology. Compared with high-definition (1920*1080) video, the number of pixels of 4K video has been increased from 2M to 8M, so higher requirements are placed on the image quality and performance of image enhancement algorithms. [0003] At present, image color enhancement technology is basically based on three-dimensional interpolation. When performing enhancement, it is necessary to realize color transformation through table lookup and interpolation. For RGB images, each pixel corresponds to three RGB channels, and table lookup 3×8=24 is required times, and 8 weights need to be calculated, and each weight needs to be multiplied twice, which requires a...

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Problems solved by technology

[0003] At present, image color enhancement technology is basically based on three-dimensional interpolation. When performing enhancement, it is necessary to realize color transformation through table lookup and interpolation. For RGB images, each pixel corresponds to three RGB channels, and table lookup 3×8=24 is required times, and 8 weights need to be calculated, and each weight needs to be multiplied twice, and the amount of calculation is relatively large. When faced with 4K image processing requirements, it is very likely that the processing capacity is insufficient.

[0004] Therefore, traditional solutions face two difficulties in the ultra-high-definition era. 1. Traditional solutions usually use dedicated hardware circuits with solidified algorithms, making it difficult to flexibly modify the algorithms. When the scheme implements parallel table lookup, it usually uses multiple memory access channels to work in parallel, which increases the hardware cost

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