/* * Copyright (C) 2015 - 2017 Intel Corporation. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ #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