u/IvanIvanicIvanovski

Image 1 — Restoring physical photographs
Image 2 — Restoring physical photographs

Restoring physical photographs

I hope I have the right subreddit for this question, but I need help restoring physical photographs.

When visiting my parent, I came across an old album of mine with pictures from my childhood and my grandma. Some of the pictures are precious memories, but unfortunately I was a dumbass as a kid. I've written on them with a marker or fineliner, or used (medical) tape to write on. There is either ink or glue on the front of all the photographs. It's been on there for at least 25 years. I would give the kid version of myself a stern talking to if I could as I'm very disappointed right now.

How can I safely remove these components? Can it be done at all? Again, not sure if I have the appropriate sub, but any help is greatly appreciated.

u/IvanIvanicIvanovski — 4 days ago

Hi all,

I hope you can help me. My apologies if I have the wrong subreddit. I'm working on a project that consists of microphones that are placed outside for long periods of time (months to years). I use them to record bird song. As they're subjected to the elements 24/7, I expect some degradation of hardware over time. This is something I want to monitor, but I'm not exactly sure on how to do this properly. All I have are the recordings themselves in terms of data.

Does anyone here have some experience with this? What are some variables or attributes I can extract from the files (WAV) that can indicate when something is going wrong? I plan to plot these as a timeseries that, hopefully, show the quality of the recordings and the state of the microphone.
I've read into some theory, but fail to find an attribute that suits the set-up of my project as they don't account for the environment (rain, wind, etc.). Attributes/values that have been recommended to me are RMS, peak amplitude and silence ratio for example, but these can not distinguish between loud winds or silent nights.

reddit.com
u/IvanIvanicIvanovski — 18 days ago

Hi all,

I hope you can help me. My apologies if I have the wrong subreddit. I'm working on a project that consists of microphones that are placed outside for long periods of time (months to years). I use them to record bird song. As they're subjected to the elements 24/7, I expect some degradation of hardware over time. This is something I want to monitor, but I'm not exactly sure on how to do this properly. All I have are the recordings themselves in terms of data.

Does anyone here have some experience with this? What are some variables or attributes I can extract from the files (WAV) that can indicate when something is going wrong? I plan to plot these as a timeseries that, hopefully, show the quality of the recordings and the state of the microphone.
I've read into some theory, but fail to find an attribute that suits the set-up of my project as they don't account for the environment (rain, wind, etc.). Attributes/values that have been recommended to me are RMS, peak amplitude and silence ratio for example, but these can not distinguish between loud winds or silent nights.

reddit.com
u/IvanIvanicIvanovski — 18 days ago