/* SPDX-License-Identifier: GPL-2.0 */
/**
Support for Intel Camera Imaging ISP subsystem.
Copyright (c) 2010 - 2015, Intel Corporation.

*/

#ifndef _IA_CSS_TNR3_TYPES_H
#define _IA_CSS_TNR3_TYPES_H

/* @file
* CSS-API header file for Temporal Noise Reduction v3 (TNR3) kernel
*/

/**
 * \brief Number of piecewise linear segments.
 * \details The parameters to TNR3 are specified as a piecewise linear segment.
 * The number of such segments is fixed at 3.
 */
#define TNR3_NUM_SEGMENTS    3

/* Temporal Noise Reduction v3 (TNR3) configuration.
 * The parameter to this kernel is fourfold
 * 1. Three piecewise linear graphs (one for each plane) with three segments
 * each. Each line graph has Luma values on the x axis and sigma values for
 * each plane on the y axis. The three linear segments may have a different
 * slope and the point of Luma value which where the slope may change is called
 * a "Knee" point. As there are three such segments, four points need to be
 * specified each on the Luma axis and the per plane Sigma axis. On the Luma
 * axis two points are fixed (namely 0 and maximum luma value - depending on
 * ISP bit depth). The other two points are the points where the slope may
 * change its value. These two points are called knee points. The four points on
 * the per plane sigma axis are also specified at the interface.
 * 2. One rounding adjustment parameter for each plane
 * 3. One maximum feedback threshold value for each plane
 * 4. Selection of the reference frame buffer to be used for noise reduction.
 */
struct ia_css_tnr3_kernel_config {
        unsigned int maxfb_y;                        /** Maximum Feedback Gain for Y */
        unsigned int maxfb_u;                        /** Maximum Feedback Gain for U */
        unsigned int maxfb_v;                        /** Maximum Feedback Gain for V */
        unsigned int round_adj_y;                    /** Rounding Adjust for Y */
        unsigned int round_adj_u;                    /** Rounding Adjust for U */
        unsigned int round_adj_v;                    /** Rounding Adjust for V */
        unsigned int knee_y[TNR3_NUM_SEGMENTS - 1];  /** Knee points */
        unsigned int sigma_y[TNR3_NUM_SEGMENTS +
                                               1]; /** Standard deviation for Y at points Y0, Y1, Y2, Y3 */
        unsigned int sigma_u[TNR3_NUM_SEGMENTS +
                                               1]; /** Standard deviation for U at points U0, U1, U2, U3 */
        unsigned int sigma_v[TNR3_NUM_SEGMENTS +
                                               1]; /** Standard deviation for V at points V0, V1, V2, V3 */
        unsigned int
        ref_buf_select;                 /** Selection of the reference buffer */
};

#endif