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/*
* 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
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