Language-based Color ISP Tuning

Fuente: arXiv
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Auteurs principaux: Mayer, Owen, Noguchi, Shohei, Berestov, Alexander, Takatori, Jiro
Format: Preprint
Publié: 2025
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author Mayer, Owen
Noguchi, Shohei
Berestov, Alexander
Takatori, Jiro
author_facet Mayer, Owen
Noguchi, Shohei
Berestov, Alexander
Takatori, Jiro
contents We propose a method for tuning the parameters of a color adjustment Image Signal Processor (ISP) algorithmic "block" using language prompts. This enables the user to impart a particular visual style to the ISP-processed image simply by describing it through a text prompt. To do this, we first implement the ISP block in a differentiable manner. Then, we define an objective function using an off-the-shelf, pretrained vision-language model (VLM) such that the objective is minimized when the ISP processed image is most visually similar to the input language prompt. Finally, we optimize the ISP parameters using gradient descent. Experimental results demonstrate tuning of ISP parameters with different language prompts, and compare the performance of different pretrained VLMs and optimization strategies.
format Preprint
id arxiv_https___arxiv_org_abs_2509_10765
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Language-based Color ISP Tuning
Mayer, Owen
Noguchi, Shohei
Berestov, Alexander
Takatori, Jiro
Image and Video Processing
We propose a method for tuning the parameters of a color adjustment Image Signal Processor (ISP) algorithmic "block" using language prompts. This enables the user to impart a particular visual style to the ISP-processed image simply by describing it through a text prompt. To do this, we first implement the ISP block in a differentiable manner. Then, we define an objective function using an off-the-shelf, pretrained vision-language model (VLM) such that the objective is minimized when the ISP processed image is most visually similar to the input language prompt. Finally, we optimize the ISP parameters using gradient descent. Experimental results demonstrate tuning of ISP parameters with different language prompts, and compare the performance of different pretrained VLMs and optimization strategies.
title Language-based Color ISP Tuning
topic Image and Video Processing
url https://arxiv.org/abs/2509.10765