diff --git a/HLS_SuPER/HLS_PER.py b/HLS_SuPER/HLS_PER.py
index 14c153b..747fe9f 100644
--- a/HLS_SuPER/HLS_PER.py
+++ b/HLS_SuPER/HLS_PER.py
@@ -196,7 +196,11 @@ def process_granule(
                 # Open Quality Layer
                 qa_da = open_hls(quality_url, roi, clip, scale, chunk_size)
                 # Write Output
-                qa_da.rio.to_raster(raster_path=quality_output_file, driver="COG")
+                # (Add) 添加压缩选项参数 compress
+                # compress 参数是源自 rioxarray 继承的 rasterio 的选项, 可以参考 https://rasterio.readthedocs.io/en/latest/api/rasterio.enums.html#rasterio.enums.Compression
+                # 若未指定则默认为 LZW, 生成速度较快, 但文件较大
+                # 设置为 DEFLATE 是为了与官网直接下载文件一致且输出文件更小, 但生成速度略慢, 单张约慢 15s.
+                qa_da.rio.to_raster(raster_path=quality_output_file, driver="COG", compress="DEFLATE")
             else:
                 qa_da = open_hls(quality_output_file, roi, clip, scale, chunk_size)
                 logging.info(
@@ -236,11 +240,11 @@ def process_granule(
                 # Write Output
                 if "FMASK" in output_name and not quality_filter:
                     # (Add) 若 quality_filter=False, 则需要将质量层文件另外保存
-                    da.rio.to_raster(raster_path=output_file, driver="COG")
+                    da.rio.to_raster(raster_path=output_file, driver="COG", compress="DEFLATE")
                 else:
                     # (Add) 固定输出为 float32 类型, 否则会默认 float64 类型
                     da.rio.to_raster(
-                        raster_path=output_file, driver="COG", dtype="float32"
+                        raster_path=output_file, driver="COG", dtype="float32", compress="DEFLATE"
                     )
             else:
                 logging.info(