In　this　paper,　we　propose　a　novel　method　to　generate　stereoscopic　images　from　light-field　images　with　the　intended　depth　range　and　simultaneously　perform　image　super-resolution.　Subject　to　the　small　baseline　of　neighboring　subaperture　views　and　low　spatial　resolution　of　light-field　images　captured　using　compact　commercial　light-field　cameras,　the　disparity　range　of　any　two　subaperture　views　is　usually　very　small.　We　propose　a　method　to　control　the　disparity　range　of　the　target　stereoscopic　images　with　linear　or　nonlinear　disparity　scaling　and　properly　resolve　the　disocclusion　problem　with　the　aid　of　a　smooth　energy　term　previously　used　for　texture　synthesis.　The　left　and　right　views　of　the　target　stereoscopic　image　are　simultaneously　generated　by　a　unified　optimization　framework,　which　preserves　content　coherence　between　the　left　and　right　views　by　a　coherence　energy　term.　The　disparity　range　of　the　target　stereoscopic　image　can　be　larger　than　that　of　the　input　light　field　image.　This　benefits　many　light　field　image-based　applications,　e.g.,　displaying　light　field　images　on　various　stereo　display　devices　and　generating　stereoscopic　panoramic　images　from　a　light　field　image　montage.　An　extensive　experimental　evaluation　demonstrates　the　effectiveness　of　our　method.