diff --git a/pims/cine.py b/pims/cine.py
index e7b5f83..45a5db2 100644
--- a/pims/cine.py
+++ b/pims/cine.py
@@ -13,6 +13,7 @@
 from pims.frame import Frame
 from pims.base_frames import FramesSequence, index_attr
 from pims.utils.misc import FileLocker
+from pims.utils.linlut import apply_linLUT
 import time
 import struct
 import numpy as np
@@ -648,6 +649,10 @@ def _get_frame(self, number):
                 # un-pack packed data
                 if (actual_bits == 10):
                     frame = _ten2sixteen(frame)
+                    # apply linLUT as specified in documentation for converting 10P -> 12 bit linear
+                    frame = apply_linLUT(frame)
+                    # Normalize black and white levels to full 12-bit range. Black level is 64 because of gamma function
+                    frame = np.interp(frame, [64,4064], [0,(2**12)-1]).astype(np.uint16)
                 elif (actual_bits == 12):
                     frame = _twelve2sixteen(frame)
                 elif (actual_bits % 8):
diff --git a/pims/utils/linlut.py b/pims/utils/linlut.py
new file mode 100644
index 0000000..ed5532f
--- /dev/null
+++ b/pims/utils/linlut.py
@@ -0,0 +1,88 @@
+import numpy as np
+
+linLUT = np.array([
+    2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 17, 18,
+    19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 33,
+    34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 48,
+    49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 63,
+    64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79,
+    79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94,
+    94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109,
+    110, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124,
+    125, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 137, 138,
+    139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154,
+    156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 167, 168, 169, 170, 171, 172,
+    173, 175, 176, 177, 178, 179, 181, 182, 183, 184, 186, 187, 188, 189, 191, 192,
+    193, 194, 196, 197, 198, 200, 201, 202, 204, 205, 206, 208, 209, 210, 212, 213,
+    215, 216, 217, 219, 220, 222, 223, 225, 226, 227, 229, 230, 232, 233, 235, 236,
+    238, 239, 241, 242, 244, 245, 247, 249, 250, 252, 253, 255, 257, 258, 260, 261,
+    263, 265, 266, 268, 270, 271, 273, 275, 276, 278, 280, 281, 283, 285, 287, 288,
+    290, 292, 294, 295, 297, 299, 301, 302, 304, 306, 308, 310, 312, 313, 315, 317,
+    319, 321, 323, 325, 327, 328, 330, 332, 334, 336, 338, 340, 342, 344, 346, 348,
+    350, 352, 354, 356, 358, 360, 362, 364, 366, 368, 370, 372, 374, 377, 379, 381,
+    383, 385, 387, 389, 391, 394, 396, 398, 400, 402, 404, 407, 409, 411, 413, 416,
+    418, 420, 422, 425, 427, 429, 431, 434, 436, 438, 441, 443, 445, 448, 450, 452,
+    455, 457, 459, 462, 464, 467, 469, 472, 474, 476, 479, 481, 484, 486, 489, 491,
+    494, 496, 499, 501, 504, 506, 509, 511, 514, 517, 519, 522, 524, 527, 529, 532,
+    535, 537, 540, 543, 545, 548, 551, 553, 556, 559, 561, 564, 567, 570, 572, 575,
+    578, 581, 583, 586, 589, 592, 594, 597, 600, 603, 606, 609, 611, 614, 617, 620,
+    623, 626, 629, 632, 635, 637, 640, 643, 646, 649, 652, 655, 658, 661, 664, 667,
+    670, 673, 676, 679, 682, 685, 688, 691, 694, 698, 701, 704, 707, 710, 713, 716,
+    719, 722, 726, 729, 732, 735, 738, 742, 745, 748, 751, 754, 758, 761, 764, 767,
+    771, 774, 777, 781, 784, 787, 790, 794, 797, 800, 804, 807, 811, 814, 817, 821,
+    824, 828, 831, 834, 838, 841, 845, 848, 852, 855, 859, 862, 866, 869, 873, 876,
+    880, 883, 887, 890, 894, 898, 901, 905, 908, 912, 916, 919, 923, 927, 930, 934,
+    938, 941, 945, 949, 952, 956, 960, 964, 967, 971, 975, 979, 982, 986, 990, 994,
+    998,1001,1005,1009,1013,1017,1021,1025,1028,1032,1036,1040,1044,1048,1052,1056,
+    1060,1064,1068,1072,1076,1080,1084,1088,1092,1096,1100,1104,1108,1112,1116,1120,
+    1124,1128,1132,1137,1141,1145,1149,1153,1157,1162,1166,1170,1174,1178,1183,1187,
+    1191,1195,1200,1204,1208,1212,1217,1221,1225,1230,1234,1238,1243,1247,1251,1256,
+    1260,1264,1269,1273,1278,1282,1287,1291,1295,1300,1304,1309,1313,1318,1322,1327,
+    1331,1336,1340,1345,1350,1354,1359,1363,1368,1372,1377,1382,1386,1391,1396,1400,
+    1405,1410,1414,1419,1424,1428,1433,1438,1443,1447,1452,1457,1462,1466,1471,1476,
+    1481,1486,1490,1495,1500,1505,1510,1515,1520,1524,1529,1534,1539,1544,1549,1554,
+    1559,1564,1569,1574,1579,1584,1589,1594,1599,1604,1609,1614,1619,1624,1629,1634,
+    1639,1644,1649,1655,1660,1665,1670,1675,1680,1685,1691,1696,1701,1706,1711,1717,
+    1722,1727,1732,1738,1743,1748,1753,1759,1764,1769,1775,1780,1785,1791,1796,1801,
+    1807,1812,1818,1823,1828,1834,1839,1845,1850,1856,1861,1867,1872,1878,1883,1889,
+    1894,1900,1905,1911,1916,1922,1927,1933,1939,1944,1950,1956,1961,1967,1972,1978,
+    1984,1989,1995,2001,2007,2012,2018,2024,2030,2035,2041,2047,2053,2058,2064,2070,
+    2076,2082,2087,2093,2099,2105,2111,2117,2123,2129,2135,2140,2146,2152,2158,2164,
+    2170,2176,2182,2188,2194,2200,2206,2212,2218,2224,2231,2237,2243,2249,2255,2261,
+    2267,2273,2279,2286,2292,2298,2304,2310,2317,2323,2329,2335,2341,2348,2354,2360,
+    2366,2373,2379,2385,2392,2398,2404,2411,2417,2423,2430,2436,2443,2449,2455,2462,
+    2468,2475,2481,2488,2494,2501,2507,2514,2520,2527,2533,2540,2546,2553,2559,2566,
+    2572,2579,2586,2592,2599,2605,2612,2619,2625,2632,2639,2645,2652,2659,2666,2672,
+    2679,2686,2693,2699,2706,2713,2720,2726,2733,2740,2747,2754,2761,2767,2774,2781,
+    2788,2795,2802,2809,2816,2823,2830,2837,2844,2850,2857,2864,2871,2878,2885,2893,
+    2900,2907,2914,2921,2928,2935,2942,2949,2956,2963,2970,2978,2985,2992,2999,3006,
+    3013,3021,3028,3035,3042,3049,3057,3064,3071,3078,3086,3093,3100,3108,3115,3122,
+    3130,3137,3144,3152,3159,3166,3174,3181,3189,3196,3204,3211,3218,3226,3233,3241,
+    3248,3256,3263,3271,3278,3286,3294,3301,3309,3316,3324,3331,3339,3347,3354,3362,
+    3370,3377,3385,3393,3400,3408,3416,3423,3431,3439,3447,3454,3462,3470,3478,3486,
+    3493,3501,3509,3517,3525,3533,3540,3548,3556,3564,3572,3580,3588,3596,3604,3612,
+    3620,3628,3636,3644,3652,3660,3668,3676,3684,3692,3700,3708,3716,3724,3732,3740,
+    3749,3757,3765,3773,3781,3789,3798,3806,3814,3822,3830,3839,3847,3855,3863,3872,
+    3880,3888,3897,3905,3913,3922,3930,3938,3947,3955,3963,3972,3980,3989,3997,4006,
+    4014,4022,4031,4039,4048,4056,4064,4095,4095,4095,4095,4095,4095,4095,4095,4095
+    ])
+
+def apply_linLUT(image):
+    """Apply linearization lookup table to a 10P compressed cine image.
+
+    Parameters
+    ----------
+    image : ndarray
+        Input image with pixel values in the range [0, 1023].
+
+    Returns
+    -------
+    ndarray
+        Linearized image with pixel values adjusted according to the linLUT.
+    """
+    if not np.issubdtype(image.dtype, np.integer):
+        raise ValueError("Input image must have integer pixel values.")
+    if np.any(image < 0) or np.any(image > 1023):
+        raise ValueError("Input image pixel values must be in the range [0, 1023].")
+
+    return linLUT[image].astype(np.uint16)
\ No newline at end of file