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Image Signal Processor (ISP) comprises of various blocks to reconstruct imagesensor raw data to final image consumed by human visual system or computervision applications. Each block typically has many tuning parameters due to thecomplexity of the operation. These need to be hand tuned by Image Quality (IQ)experts, which takes considerable amount of time. In this paper, we present anautomatic IQ tuning using nonlinear optimization and automatic referencegeneration algorithms. The proposed method can produce high quality IQ inminutes as compared with weeks of hand-tuned results by IQ experts. Inaddition, the proposed method can work with any algorithms without being awareof their specific implementation. It was found successful on multiple differentprocessing blocks such as noise reduction, demosaic, and sharpening.

Automatic ISP image quality tuning using non-linear optimization