import type { TypedArray, NumberType } from "./types.js";
/**
 * Builds a histogram with 256 bins from a data array. Assume data is 8 bit single channel grayscale.
 * @class
 * @param {Array.<number>} data
 */
export default class Histogram {
    private bins;
    /** Min value in the original raw data. */
    private min;
    /** Max value in the original raw data. */
    private max;
    /** Size of each histogram bin in the scale of the original data. */
    private binSize;
    /** Index of the first bin (other than 0) with at least 1 value. */
    private dataMinBin;
    /** Index of the last bin (other than 0) with at least 1 value. */
    private dataMaxBin;
    private pixelCount;
    maxBin: number;
    constructor(data: TypedArray<NumberType>);
    static findBin(dataValue: number, dataMin: number, binSize: number, numBins: number): number;
    findBinOfValue(value: number): number;
    /**
     * Return the min data value
     * @return {number}
     */
    getDataMin(): number;
    /**
     * Return the max data value
     * @return {number}
     */
    getDataMax(): number;
    /**
     * Returns the first bin index with at least 1 value, other than the 0th bin.
     * @return {number}
     */
    getMin(): number;
    /**
     * Returns the last bin index with at least 1 value, other than the 0th bin.
     * @return {number}
     */
    getMax(): number;
    getNumBins(): number;
    getBin(i: number): number;
    getBinRange(i: number): [number, number];
    /**
     * Find the bin that contains the percentage of pixels below it
     * @return {number}
     * @param {number} pct
     */
    findBinOfPercentile(pct: number): number;
    findBestFitBins(): [number, number];
    findAutoIJBins(): [number, number];
    findAutoMinMax(): [number, number];
    private static calculateHistogram;
}