老照片恢复-往昔修颜馆
Published by:
鹏 王
Description
老照片恢复是一款老照片智能恢复工具，可以将模糊低清照片变清晰、斑驳破损修复，黑白照片上色，并针对面部进行了高清还原修复。
【图像修复功能】有一些具有纪念意义的老照片由于时间久远变得模糊或者破损，使用智能修复功能可自动修复照片，提高清晰度，丰富细节，完美翻新。
【黑白图片上色】智能上色功能通过大量的黑白照片上色案例，精准还原符合场景的色彩，变成彩色照片。
【图像无损放大】对于分辨率低的照片，可进行AI无损放大，既不损失清晰度，又可将图片放大至满意尺寸。
【图像降噪】光线不足，照片噪点太多使得照片整体模糊不清，使用人像去噪功能，通过AI智能识别获取照片噪点，清理噪点的同时不模糊重要细节。
【对比度增强】调整过暗或者过亮图像的对比度，使图像更加鲜明，不论夜间拍摄还是曝光照片都能很好修复。
【图片去雾】对浓雾天气下拍摄，导致细节无法辨认的图像进行去雾处理，将重要细节清晰展示，还原更清晰真实的图像。
【拉伸图像恢复】将过度拉伸的图像内容恢复成正常比例，修复成正常视觉的照片。
【图片风格转换】将图像转换成卡通画、铅笔画、哥特油画等9种不同的艺术风格，图像更具趣味性。
【人像动漫画】运用对抗生成网络技术，结合人脸检测、头发分割、人像分割等技术，为用户量身定制千人千面的二次元动漫形象，并支持通过参数设置。
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【图像修复功能】有一些具有纪念意义的老照片由于时间久远变得模糊或者破损，使用智能修复功能可自动修复照片，提高清晰度，丰富细节，完美翻新。
【黑白图片上色】智能上色功能通过大量的黑白照片上色案例，精准还原符合场景的色彩，变成彩色照片。
【图像无损放大】对于分辨率低的照片，可进行AI无损放大，既不损失清晰度，又可将图片放大至满意尺寸。
【图像降噪】光线不足，照片噪点太多使得照片整体模糊不清，使用人像去噪功能，通过AI智能识别获取照片噪点，清理噪点的同时不模糊重要细节。
【对比度增强】调整过暗或者过亮图像的对比度，使图像更加鲜明，不论夜间拍摄还是曝光照片都能很好修复。
【图片去雾】对浓雾天气下拍摄，导致细节无法辨认的图像进行去雾处理，将重要细节清晰展示，还原更清晰真实的图像。
【拉伸图像恢复】将过度拉伸的图像内容恢复成正常比例，修复成正常视觉的照片。
【图片风格转换】将图像转换成卡通画、铅笔画、哥特油画等9种不同的艺术风格，图像更具趣味性。
【人像动漫画】运用对抗生成网络技术，结合人脸检测、头发分割、人像分割等技术，为用户量身定制千人千面的二次元动漫形象，并支持通过参数设置。
In-Apps
- 一年VIP
- ¥58.00
- 单月VIP
- ¥28.00
- 套餐一
- ¥28.00
- 套餐三
- ¥498.00
- 套餐二
- ¥128.00
- 季度VIP
- ¥38.00
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App Info
- Category
- Utilities
- Publisher
-
鹏 王
- Languages
- English
- Recent release
- 1.0.3 (6 months ago )
- Released on
- Oct 8, 2024 (6 months ago )
- Also available in
- Sri Lanka, Norway, Netherlands, Nigeria, Malaysia, Mexico, Malta, Madagascar, Latvia, New Zealand, Lebanon, Kazakhstan, Kuwait, South Korea, Japan, Italy, Iceland, Sweden, Vietnam, Uzbekistan, Ukraine, Taiwan, Thailand, Slovakia, Slovenia, Singapore, India, Saudi Arabia, Russia, Romania, Poland, Pakistan, Philippines, Peru, Brazil, Germany, Czechia, Colombia, China, Chile, Switzerland, Canada, Belarus, Denmark, Brunei, Belgium, Azerbaijan, Australia, Austria, Argentina, Armenia, United Arab Emirates, Dominican Republic, Algeria, Ecuador, Estonia, Egypt, Spain, Finland, France, United Kingdom, Greece, Croatia, Hungary, Indonesia, Ireland, Israel
- Last Updated
- 2 weeks ago
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