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aptdec
의 미러 https://github.com/Xerbo/aptdec
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Changes backported from aptdec2 

New regression, only linear as per recommendation of the Users' Guide
tags/v1.8.0
Xerbo 2 년 전
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0c44daa165
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27d75c706e
No known key found for this signature in database GPG 키 ID: 34103F6D8F11CEB0
6개의 변경된 파일과 110개의 추가작업 그리고 175개의 파일을 삭제
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  1. +1
    -1
      CMakeLists.txt
  2. +59
    -0
      src/algebra.c
  3. +38
    -0
      src/algebra.h
  4. +12
    -30
      src/image.c
  5. +0
    -143
      src/libs/reg.c
  6. +0
    -1
      src/libs/reg.h

+ 1
- 1
CMakeLists.txt 파일 보기

@@ -11,7 +11,7 @@ find_package(PNG)
# libsndfile
find_package(LibSndFile)

set(LIB_C_SOURCE_FILES src/color.c src/dsp.c src/filter.c src/image.c src/libs/reg.c src/libs/median.c)
set(LIB_C_SOURCE_FILES src/color.c src/dsp.c src/filter.c src/image.c src/algebra.c src/libs/median.c)
set(EXE_C_SOURCE_FILES src/main.c src/pngio.c src/libs/argparse.c)
set(LIB_C_HEADER_FILES src/apt.h)



+ 59
- 0
src/algebra.c 파일 보기

@@ -0,0 +1,59 @@
/*
* aptdec - A lightweight FOSS (NOAA) APT decoder
* Copyright (C) 2019-2022 Xerbo (xerbo@protonmail.com)
*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 2 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/

#include "algebra.h"
#include <math.h>

// Find the best linear equation to estimate the value of the
// dependent variable from the independent variable
linear_t linear_regression(const float *independent, const float *dependent, size_t len) {
// Calculate mean of the dependent and independent variables (this is the centoid)
float dependent_mean = 0.0f;
float independent_mean = 0.0f;
for (size_t i = 0; i < len; i++) {
dependent_mean += dependent[i] / (float)len;
independent_mean += independent[i] / (float)len;
}

// Calculate slope
float a = 0.0f;
{
float a_numerator = 0.0f;
float a_denominator = 0.0f;
for (size_t i = 0; i < len; i++) {
a_numerator += (independent[i] - independent_mean) * (dependent[i] - dependent_mean);
a_denominator += powf(independent[i] - independent_mean, 2.0f);
}
a = a_numerator/a_denominator;
}

// We can now solve for the y-intercept since we know the slope
// and the centoid, which the line must pass through
float b = dependent_mean - a * independent_mean;

//printf("y(x) = %fx + %f\n", a, b);
return (linear_t){a, b};
}

float linear_calc(float x, linear_t line) {
return x*line.a + line.b;
}

float quadratic_calc(float x, quadratic_t quadratic) {
return x*x*quadratic.a + x*quadratic.b + quadratic.c;
}

+ 38
- 0
src/algebra.h 파일 보기

@@ -0,0 +1,38 @@
/*
* aptdec - A lightweight FOSS (NOAA) APT decoder
* Copyright (C) 2019-2022 Xerbo (xerbo@protonmail.com)
*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 2 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/

#ifndef APTDEC_ALGEBRA_H
#define APTDEC_ALGEBRA_H
#include <stddef.h>

// A linear equation in the form of y(x) = ax + b
typedef struct {
float a, b;
} linear_t;

// A quadratic equation in the form of y(x) = ax^2 + bx + c
typedef struct {
float a, b, c;
} quadratic_t;

linear_t linear_regression(const float *independent, const float *dependent, size_t len);

float linear_calc(float x, linear_t line);
float quadratic_calc(float x, quadratic_t line);

#endif

+ 12
- 30
src/image.c 파일 보기

@@ -23,32 +23,14 @@
#include <stdlib.h>

#include "apt.h"
#include "libs/reg.h"
#include "algebra.h"
#include "image.h"

#define REGORDER 3
typedef struct {
double cf[REGORDER + 1];
} rgparam_t;

// Compute regression
static void rgcomp(double x[16], rgparam_t * rgpr) {
static linear_t compute_regression(float *wedges) {
// { 0.106, 0.215, 0.324, 0.433, 0.542, 0.652, 0.78, 0.87, 0.0 }
const double y[9] = { 31.07, 63.02, 94.96, 126.9, 158.86, 191.1, 228.62, 255.0, 0.0 };

polyreg(REGORDER, 9, x, y, rgpr->cf);
}

// Convert a value to 0-255 based off the provided regression curve
static double rgcal(float x, rgparam_t *rgpr) {
double y, p;
int i;
const float teleramp[9] = { 31.07, 63.02, 94.96, 126.9, 158.86, 191.1, 228.62, 255.0, 0.0 };

for (i = 0, y = 0.0, p = 1.0; i < REGORDER + 1; i++) {
y += rgpr->cf[i] * p;
p = p * x;
}
return y;
return linear_regression(wedges, teleramp, 9);
}

static double tele[16];
@@ -104,18 +86,18 @@ void apt_linearEnhance(float **prow, int nrow, int offset, int width){
}

// Brightness calibrate, including telemetry
void calibrateImage(float **prow, int nrow, int offset, int width, rgparam_t regr){
void calibrateImage(float **prow, int nrow, int offset, int width, linear_t regr){
offset -= APT_SYNC_WIDTH+APT_SPC_WIDTH;

for (int y = 0; y < nrow; y++) {
for (int x = 0; x < width+APT_SYNC_WIDTH+APT_SPC_WIDTH+APT_TELE_WIDTH; x++) {
float pv = (float)rgcal(prow[y][x + offset], &regr);
float pv = linear_calc(prow[y][x + offset], regr);
prow[y][x + offset] = CLIP(pv, 0, 255);
}
}
}

double teleNoise(double wedges[16]){
double teleNoise(float *wedges){
double pattern[9] = { 31.07, 63.02, 94.96, 126.9, 158.86, 191.1, 228.62, 255.0, 0.0 };
double noise = 0;
for(int i = 0; i < 9; i++)
@@ -127,8 +109,8 @@ double teleNoise(double wedges[16]){
// Get telemetry data for thermal calibration
apt_channel_t apt_calibrate(float **prow, int nrow, int offset, int width) {
double teleline[APT_MAX_HEIGHT] = { 0.0 };
double wedge[16];
rgparam_t regr[APT_MAX_HEIGHT/APT_FRAME_LEN + 1];
float wedge[16];
linear_t regr[APT_MAX_HEIGHT/APT_FRAME_LEN + 1];
int telestart, mtelestart = 0;
int channel = -1;

@@ -194,9 +176,9 @@ apt_channel_t apt_calibrate(float **prow, int nrow, int offset, int width) {
bestFrame = k;

// Compute & apply regression on the wedges
rgcomp(wedge, &regr[k]);
regr[k] = compute_regression(wedge);
for (int j = 0; j < 16; j++)
tele[j] = (float)rgcal((float)wedge[j], &regr[k]);
tele[j] = linear_calc(wedge[j], regr[k]);

/* Compare the channel ID wedge to the reference
* wedges, the wedge with the closest match will
@@ -227,7 +209,7 @@ apt_channel_t apt_calibrate(float **prow, int nrow, int offset, int width) {
i++;
}
}
Cs = rgcal((float)(Cs / i), &regr[k]);
Cs = linear_calc((Cs / i), regr[k]);
}
}



+ 0
- 143
src/libs/reg.c 파일 보기

@@ -1,143 +0,0 @@
/* ---------------------------------------------------------------------------

Polynomial regression, freely adapted from:
NUMERICAL METHODS: C Programs, (c) John H. Mathews 1995
Algorithm translated to C by: Dr. Norman Fahrer
NUMERICAL METHODS for Mathematics, Science and Engineering, 2nd Ed, 1992
Prentice Hall, International Editions: ISBN 0-13-625047-5
This free software is compliments of the author.
E-mail address: in%"mathews@fullerton.edu"
*/

#include <math.h>

#include "reg.h"

#define DMAX 5 /* Maximum degree of polynomial */
#define NMAX 10 /* Maximum number of points */
static void FactPiv(int N, double A[DMAX][DMAX], double B[], double Cf[]);

void polyreg(const int M, const int N, const double X[], const double Y[], double C[]) {
int R, K, J; /* Loop counters */
double A[DMAX][DMAX]; /* A */
double B[DMAX];
double P[2 * DMAX + 1];
double x, y;
double p;

/* Zero the array */
for (R = 0; R < M + 1; R++)
B[R] = 0;

/* Compute the column vector */
for (K = 0; K < N; K++) {
y = Y[K];
x = X[K];
p = 1.0;
for (R = 0; R < M + 1; R++) {
B[R] += y * p;
p = p * x;
}
}

/* Zero the array */
for (J = 1; J <= 2 * M; J++)
P[J] = 0;

P[0] = N;

/* Compute the sum of powers of x_(K-1) */
for (K = 0; K < N; K++) {
x = X[K];
p = X[K];
for (J = 1; J <= 2 * M; J++) {
P[J] += p;
p = p * x;
}
}

/* Determine the matrix entries */
for (R = 0; R < M + 1; R++) {
for (K = 0; K < M + 1; K++)
A[R][K] = P[R + K];
}

/* Solve the linear system of M + 1 equations: A*C = B
for the coefficient vector C = (c_1,c_2,..,c_M,c_(M+1)) */
FactPiv(M + 1, A, B, C);
} /* end main */


/*--------------------------------------------------------*/
static void FactPiv(int N, double A[DMAX][DMAX], double B[], double Cf[]) {
int K, P, C, J; /* Loop counters */
int Row[NMAX]; /* Field with row-number */
double X[DMAX], Y[DMAX];
double SUM, DET = 1.0;
int T;

/* Initialize the pointer vector */
for (J = 0; J < NMAX; J++)
Row[J] = J;

/* Start LU factorization */
for (P = 0; P < N - 1; P++) {
/* Find pivot element */
for (K = P + 1; K < N; K++) {
if (fabs(A[Row[K]][P]) > fabs(A[Row[P]][P])) {
/* Switch the index for the p-1 th pivot row if necessary */
T = Row[P];
Row[P] = Row[K];
Row[K] = T;
DET = -DET;
}
} /* End of simulated row interchange */
if (A[Row[P]][P] == 0) {
/* The matrix is SINGULAR! */
return;
}

/* Multiply the diagonal elements */
DET = DET * A[Row[P]][P];

/* Form multiplier */
for (K = P + 1; K < N; K++) {
A[Row[K]][P] = A[Row[K]][P] / A[Row[P]][P];

/* Eliminate X_(p-1) */
for (C = P + 1; C < N + 1; C++) {
A[Row[K]][C] -= A[Row[K]][P] * A[Row[P]][C];
}
}
}
/* End of L*U factorization routine */
DET = DET * A[Row[N - 1]][N - 1];

/* Start the forward substitution */
for (K = 0; K < N; K++)
Y[K] = B[K];

Y[0] = B[Row[0]];

for (K = 1; K < N; K++) {
SUM = 0;
for (C = 0; C <= K - 1; C++)
SUM += A[Row[K]][C] * Y[C];
Y[K] = B[Row[K]] - SUM;
}

/* Start the back substitution */
X[N - 1] = Y[N - 1] / A[Row[N - 1]][N - 1];
for (K = N - 2; K >= 0; K--) {
SUM = 0;
for (C = K + 1; C < N; C++) {
SUM += A[Row[K]][C] * X[C];
}
X[K] = (Y[K] - SUM) / A[Row[K]][K];
} /* End of back substitution */

/* Output */
for (K = 0; K < N; K++)
Cf[K] = X[K];
}

+ 0
- 1
src/libs/reg.h 파일 보기

@@ -1 +0,0 @@
void polyreg(const int M, const int N, const double X[], const double Y[], double C[]);

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