diff --git a/api/chat_routes.py b/api/chat_routes.py
index a31a7f3..4fc82ec 100644
--- a/api/chat_routes.py
+++ b/api/chat_routes.py
@@ -1564,6 +1564,18 @@ def select_images(contexts: List[Dict], query: str) -> List[Dict]:
         MAX_IMAGES = 2
         MIN_SCORE = 3.0
 
+    # 动态调整：当表格嵌入大量图片时，提升上限以展示完整内容
+    _table_image_count = 0
+    for _ctx in contexts:
+        _meta = _ctx.get('meta', {})
+        if _meta.get('chunk_type') == 'table' and _meta.get('images_json'):
+            try:
+                _table_image_count += len(json.loads(_meta['images_json']))
+            except (json.JSONDecodeError, TypeError):
+                pass
+    if _table_image_count > MAX_IMAGES:
+        MAX_IMAGES = min(_table_image_count, 15)  # 上限 15
+
     # 获取检索结果中涉及的主要章节（只看前 3 个最相关的文本块）
     primary_sections = set()
     for ctx in contexts[:3]:
@@ -1584,6 +1596,8 @@ def select_images(contexts: List[Dict], query: str) -> List[Dict]:
     for ctx in contexts:
         meta = ctx.get('meta', {})
         chunk_type = meta.get('chunk_type', 'text')
+        s = None  # P1 评分，用于 P1.5 继承
+        doc = ctx.get('doc', '')
 
         # 处理图片类型和有关联图片的表格类型
         if meta.get('image_path') and chunk_type in ('image', 'chart', 'table'):
@@ -1696,6 +1710,11 @@ def select_images(contexts: List[Dict], query: str) -> List[Dict]:
         # ========== P1.5：处理表格切片的 images_json（跨页表格多图）==========
         # 当表格切片有 images_json 字段时，添加所有关联图片
         if chunk_type == 'table' and meta.get('images_json'):
+            # 如果 P1 未执行（表格无 image_path），需要独立计算分数
+            if s is None:
+                doc = ctx.get('image_description', '') or meta.get('vlm_desc', '') or ctx.get('doc', '')
+                meta['score'] = ctx.get('score', 0)
+                s = score_image_relevance(query, meta, doc)
             try:
                 images_list = json.loads(meta['images_json'])
                 for img_info in images_list:
@@ -1709,9 +1728,7 @@ def select_images(contexts: List[Dict], query: str) -> List[Dict]:
                     # 跳过已添加的图片（避免重复）
                     existing_ids = {img['id'] for img in scored_images}
                     if img_id and img_id not in existing_ids:
-                        # 为关联图片计算分数（继承主表格分数，略低）
-                        ctx_score = ctx.get("score", 0)
-                        assoc_score = ctx_score - 1.0 if ctx_score >= MIN_SCORE else MIN_SCORE - 1.0
+                        assoc_score = s - 1.0 if s >= MIN_SCORE else MIN_SCORE - 1.0
                         if assoc_score >= MIN_SCORE:
                             scored_images.append({
                                 'score': assoc_score,