diff --git a/src/repixelizer/io.py b/src/repixelizer/io.py
index c0a2401..3e345cf 100644
--- a/src/repixelizer/io.py
+++ b/src/repixelizer/io.py
@@ -41,12 +41,6 @@ def box_resize(rgba: np.ndarray, width: int, height: int) -> np.ndarray:
     return np.asarray(resized, dtype=np.float32) / 255.0
 
 
-def bilinear_resize(rgba: np.ndarray, width: int, height: int) -> np.ndarray:
-    image = Image.fromarray(np.clip(np.rint(rgba * 255.0), 0, 255).astype(np.uint8), mode="RGBA")
-    resized = image.resize((width, height), resample=Image.Resampling.BILINEAR)
-    return np.asarray(resized, dtype=np.float32) / 255.0
-
-
 def lanczos_resize(rgba: np.ndarray, width: int, height: int) -> np.ndarray:
     image = Image.fromarray(np.clip(np.rint(rgba * 255.0), 0, 255).astype(np.uint8), mode="RGBA")
     resized = image.resize((width, height), resample=Image.Resampling.LANCZOS)
diff --git a/src/repixelizer/metrics.py b/src/repixelizer/metrics.py
index 65ae3a6..f781ff7 100644
--- a/src/repixelizer/metrics.py
+++ b/src/repixelizer/metrics.py
@@ -496,19 +496,3 @@ def _motif_blocks(premul: np.ndarray) -> np.ndarray:
     centered = blocks - np.mean(blocks, axis=-2, keepdims=True)
     scale = np.maximum(1e-4, np.mean(np.abs(centered), axis=(-2, -1), keepdims=True))
     return centered / scale
-
-
-def lattice_source_rgba(
-    source_rgba: np.ndarray,
-    *,
-    target_width: int,
-    target_height: int,
-    alpha_threshold: float = 0.05,
-) -> tuple[np.ndarray, float]:
-    reference = build_source_lattice_reference(
-        source_rgba,
-        target_width=target_width,
-        target_height=target_height,
-        alpha_threshold=alpha_threshold,
-    )
-    return reference.mean_rgba, reference.dispersion