A Context-Aware, Intent-Driven Adaptive Transfer Function for ISP Pipelines

Maalav Whorra; Shalini Lamba; Shweta Sinha; Gaurvi Shukla

A Context-Aware, Intent-Driven Adaptive Transfer Function for ISP Pipelines

Author(s)	Maalav Whorra, Shalini Lamba, Shweta Sinha, Gaurvi Shukla
Country	India
Abstract	Since the analog-digital acquisition conversion, digital cameras have been using fixed and manually chosen gamma transfer functions Rec.709, Sony S-Log3, ITU-R BT.2100 HLG to encode the linear sensor irradiance to encoded pixel values. These profiles are non-dynamic, i.e. they are set up once, chosen prior to the shot, and used equally on all frames irrespective of the content of the scene, or the state of the illumination, or even the downstream intent of the operator. Such rigidity amounts to a basic encoding conflict. A transfer designed to optimize the statistical average of a test set of a manufacturer cannot be at the same time optimized on a high-dynamic-range exterior picture, a low-contrast portrait, a night image, or a backlit subject situation as would be found by professional photographers. The current adaptive gamma correction algorithms, such as the statistical classification scheme of Rahman et al. and the weighted distribution scheme of Huang et al. are architecturally limited to the post-processing stage of handling encoded pixel values: they encode received pixel values, adjust a scalar gamma exponent, and generate display-oriented output. They are unable to work on linear sensor data at the ISP acquisition stage, are not operator intent models, and cannot provide analytical invertibility a necessary point in professional post-production processes. In this paper, a hypothetical model of an adaptive transfer function G (x \| C, I) is suggested to work at the signal-domain acquisition encoding phase of the ISP pipeline. The operation takes normalized linear irradiance x as input and an encoded output value as output, with a conditioning of both a scene context vector C extracted out of the linear RAW frame and a discrete operator intent variable I. The parameterized monotone cubic Hermite spline is the function that achieves the role of family and provides the possibility to invert it analytically. We formalize the mathematical model, develop an invertibility statement, introduce a lightweight scene-feature extractor, develop a neural context-intent encoder structure, build a taxonomy of 14 canonical scene types with theoretical performance analysis, and introduce a metadata-sidecar compatibility architecture to integrate professional workflows. No empirical experimental findings in this paper; all comparative statements are based on the analytical attributes of the mathematical properties of the offered family of functions and the limitations, which have been reported in the previous work.
Keywords	Adaptive gamma correction; ISP transfer function; scene-conditioned encoding; intent-driven imaging; linear RAW processing; monotone cubic spline; invertible encoding; computational photography; operator intent; acquisition encoding; dynamic range optimization; professional imaging pipeline; context-aware ISP
Field	Computer Applications
Published In	Volume 8, Issue 5, September-October 2026
Published On	2026-10-11

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A Context-Aware, Intent-Driven Adaptive Transfer Function for ISP Pipelines

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