In order to reduce the computational complexity of the emerging high e fficiency video coding (HEVC),a novel fast inter coding method is proposed,which combines just noticeable difference (JND)-based fast inter mode selection and adaptive coding unit (CU) depth range (DR) decision algorithm.First of all,for reducing computational complexity,we decrease candidates for predicting mode through a JND threshold which is obtained by buil ding correlation between the best prediction mode and spatial-temporal JND.Thus,depth range (DR) type of the cu rrent largest coding unit (LCU) is estimated through the weighted value of spatial-temporal adjacent LCUs′ average depth wi th average depth difference (ADD) which is defined by current and previous frames.Thus,the unnecessary depth from candida tes can be reduced.Furthermore,the above two algorithms are fused for further reducing computational complexity of HEVC. Experimental results show that in the low-delay and random-access cases,the proposed algorithm can save encoding ti me of more than 40% with only Bj.ntegaard delta peak signal-to-noise rate (BDPSNR) losses of 0.058dB and 0.037dB,Bj.ntegaard delta bit rate (BDBR) losse s of 1.71% and 1.06%,respectively.The proposed method also saves the same encoding time compared with Xiong′s method with a BDPSNR gain of 0.019dB and a BDBR gain of 0.5% in low-delay case.