Efficient Image Details Preservation of Image Processing Pipeline Based on Two-Stage Tone Mapping

Weijian Xu, Yuyang Cai, Feng Qian (), Yuan Hu and Jingwen Yan
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Weijian Xu: School of Ocean Information Engineering, Jimei University, Xiamen 361000, China
Yuyang Cai: School of Information Engineering, Shantou University, Shantou 515063, China
Feng Qian: University of Chinese Academy of Sciences, Beijing 100049, China
Yuan Hu: School of Information Engineering, Shantou University, Shantou 515063, China
Jingwen Yan: School of Information Engineering, Shantou University, Shantou 515063, China

Mathematics, 2024, vol. 12, issue 10, 1-18

Abstract: Converting a camera’s RAW image to an RGB format for human perception involves utilizing an imaging pipeline, and a series of processing modules. Existing modules often result in varying degrees of original information loss, which can render the reverse imaging pipeline unable to recover the original RAW image information. To this end, this paper proposes a new, almost reversible image imaging pipeline. Thus, RGB images and RAW images can be effectively converted between each other. Considering the impact of original information loss, this paper introduces a two-stage tone mapping operation (TMO). In the first stage, the RAW image with a linear response is transformed into an RGB color image. In the second stage, color scale mapping corrects the dynamic range of the image suitable for human perception through linear stretching, and reduces the loss of sensitive information to the human eye during the integer process. effectively preserving the original image’s dynamic information. The DCRAW imaging pipeline addresses the problem of high light overflow by directly highlighting cuts. The proposed imaging pipeline constructs an independent highlight processing module, and preserves the highlighted information of the image. The experimental results demonstrate that the two-stage tone mapping operation embedded in the imaging processing pipeline provided in this article ensures that the image output is suitable for human visual system (HVS) perception and retains more original image information.

Keywords: image processing; imaging pipeline; tone mapping operation; highlight processing module (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
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