The　fusion　algorithm　of　traditional　image　stitching　does　not　fully　consider　the　differences　of　the　clarity　of　the　two　images,　and　the　conventional　Discrete　Wavelet　Transform　algorithm　would　blur　the　image　when　applied　to　image　stitching.　Owing　to　these,　an　improved　method　based　on　Discrete　Wavelet　Transform　and　Slope　Fusion　is　proposed.　The　proposed　algorithm　firstly　performs　Haar　wavelet　transform　on　the　image　to　be　fused　to　obtain　a　low-frequency　component　and　multiple　high-frequency　components.　Subsequently,　the　Slope　Fusion　method　is　used　for　the　obtained　low-frequency　component　and　the　sub-regional　Slope　Fusion　method　is　used　for　the　high-frequency　components.　Finally,　the　fused　image　is　obtained　by　using　the　Inverse　Discrete　Wavelet　Transform　for　the　new　low-frequency　component　and　high-frequency　components.　The　proposed　algorithm　can　retain　the　information　of　direction　and　detail　while　taking　full　account　of　differences　in　image　sharpness,　all　of　those　benefits　help　improve　the　quality　of　the　fused　image　effectively.　The　experimental　results　show　that　the　proposed　algorithm　can　make　the　fused　image　clearer　and　objectively　enhance　multiple　fusion　indicators　of　the　fused　image.　©　Springer　Nature　Switzerland　AG　2019.