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min) * 255) / (max - min);\n};\n\nconst getBounds = function(histogramChannel) {\n  return [\n    histogramChannel.findIndex(value => value > 0),\n    255 -\n      histogramChannel\n        .slice()\n        .reverse()\n        .findIndex(value => value > 0)\n  ];\n};\n\n/**\n * Normalizes the image\n * @param {function(Error, Jimp)} cb (optional) a callback for when complete\n * @returns {Jimp} this for chaining of methods\n */\nexport default () => ({\n  normalize(cb) {\n    const h = histogram.call(this);\n\n    // store bounds (minimum and maximum values)\n    const bounds = {\n      r: getBounds(h.r),\n      g: getBounds(h.g),\n      b: getBounds(h.b)\n    };\n\n    // apply value transformations\n    this.scanQuiet(0, 0, this.bitmap.width, this.bitmap.height, function(\n      x,\n      y,\n      idx\n    ) {\n      const r = this.bitmap.data[idx + 0];\n      const g = this.bitmap.data[idx + 1];\n      const b = this.bitmap.data[idx + 2];\n\n      this.bitmap.data[idx + 0] = normalize(r, bounds.r[0], bounds.r[1]);\n      this.bitmap.data[idx + 1] = normalize(g, bounds.g[0], bounds.g[1]);\n      this.bitmap.data[idx + 2] = normalize(b, bounds.b[0], bounds.b[1]);\n    });\n\n    if (isNodePattern(cb)) {\n      cb.call(this, null, this);\n    }\n\n    return this;\n  }\n});\n"],"file":"index.js"}