diff --git a/src/correlations.jl b/src/correlations.jl
index feeb4eb..b5d9008 100644
--- a/src/correlations.jl
+++ b/src/correlations.jl
@@ -1,4 +1,4 @@
-export ccorr
+export ccorr, plan_ccorr, ccorr_psf, plan_ccorr_psf, plan_ccorr_buffer, plan_ccorr_psf_buffer
 
 """
     ccorr(u, v[, dims]; centered=false)
@@ -65,3 +65,81 @@ function ccorr(u::AbstractArray{<:Real, N}, v::AbstractArray{<:Real, M},
         return out
     end
 end
+
+function ccorr_psf(u::AbstractArray{T, N}, psf::AbstractArray{D, M}, dims=ntuple(+, min(N, M))) where {T, D, N, M}
+    return ccorr(u, ifftshift(psf, dims), dims)
+end
+
+function p_ccorr_aux(P, P_inv, u, v_ft)
+    return (P_inv.p * ((P * u) .* conj(v_ft) .* P_inv.scale))
+end
+
+function plan_ccorr(u::AbstractArray{T1, N}, v::AbstractArray{T2, M}, dims=ntuple(+, N);
+                   kwargs...) where {T1, T2, N, M}
+    eltype_error(T1, T2)
+    plan = get_plan(T1)
+    # do the preplanning step
+    P = let
+        # FFTW.MEASURE flag might overwrite input! Hence copy!
+        if (:flags in keys(kwargs) && 
+            (getindex(kwargs, :flags) == FFTW.MEASURE || getindex(kwargs, :flags) == FFTW.PATIENT)) 
+            plan(copy(u), dims; kwargs...)
+        else
+            plan(u, dims; kwargs...)
+        end
+    end
+
+    v_ft = fft_or_rfft(T1)(v, dims)
+    # construct the efficient conv function
+    # P and P_inv can be understood like matrices
+    # but their computation is fast
+    ccorr = let P = P,
+               P_inv = inv(P),
+               # put a different name here! See https://discourse.julialang.org/t/type-issue-with-captured-variables-let-workaround-failed/85661
+               v_ft = v_ft
+        ccorr(u, v_ft=v_ft) = p_ccorr_aux(P, P_inv, u, v_ft)
+    end
+    
+    return v_ft, ccorr
+end
+
+function plan_ccorr_psf(u::AbstractArray{T, N}, psf::AbstractArray{T, M}, dims=ntuple(+, N);
+    kwargs...) where {T, N, M}
+return plan_ccorr(u, ifftshift(psf, dims), dims; kwargs...)
+end
+
+function plan_ccorr_buffer(u::AbstractArray{T1, N}, v::AbstractArray{T2, M}, dims=ntuple(+, N);
+    kwargs...) where {T1, T2, N, M}
+    eltype_error(T1, T2)
+    plan = get_plan(T1)
+    # do the preplanning step
+    P_u = plan(u, dims; kwargs...)
+    P_v = plan(v, dims)
+
+    u_buff = P_u * u
+    v_ft = P_v * v
+    conj!(v_ft)
+    uv_buff = u_buff .* v_ft
+
+    # for fourier space we need a new plan
+    P = plan(u .* v, dims; kwargs...)
+    P_inv = inv(P)
+    out_buff = P_inv * uv_buff
+
+    # construct the efficient conv function
+    # P and P_inv can be understood like matrices
+    # but their computation is fast
+    function ccorr(u, v_ft=v_ft)
+        mul!(u_buff, P_u, u)
+        uv_buff .= u_buff .* v_ft
+        mul!(out_buff, P_inv, uv_buff)
+        return out_buff
+    end
+
+    return v_ft, ccorr
+end
+
+function plan_ccorr_psf_buffer(u::AbstractArray{T, N}, psf::AbstractArray{T, M}, dims=ntuple(+, N);
+    kwargs...) where {T, N, M}
+    return plan_ccorr_buffer(u, ifftshift(psf, dims), dims; kwargs...)
+end