### Is there an existing issue for this?

- [X] I have searched the existing issues

### Current Behavior

I've been having issues with either Docker or Localstack, so a couple of times today I've removed all the images (and eventually reset/reinstalled Docker Desktop which deleted all the images again). I've noticed that when I run `localstack start` (installed with `pip`, on the host macOS) and the `localstack/localstack:latest` image is not present, `localstack` starts downloading a bunch of old images instead of `latest`.

```sh
bash-3.2$ docker image ls
REPOSITORY   TAG       IMAGE ID   CREATED   SIZE

bash-3.2$ localstack start
# this step will remain silent for as long as you let it
# nothing will happen for several minutes but eventually you'll see bursts of network activity
<Ctrl-C to see a KeyboardInterrupt stack trace>

bash-3.2$ docker image ls
REPOSITORY              TAG        IMAGE ID       CREATED        SIZE
localstack/localstack   0.10.1.2   9bf25773d5f0   2 years ago    855MB
localstack/localstack   0.10.0     835c5cec4d47   2 years ago    855MB
```

### Expected Behavior

The `localstack` CLI tool sees that `localstack/localstack:latest` does not exist on the local machine, and pulls that version of the image _only_

### How are you starting LocalStack?

With the `localstack` script

### Steps To Reproduce

#### How are you starting localstack (e.g., `bin/localstack` command, arguments, or `docker-compose.yml`)
```sh
docker image ls
docker image rm localstack/localstack:latest
localstack start
```

### Environment

```markdown
- OS: macOS 12.4, Docker Desktop 4.10, Python 3.9.13 (Homebrew)
- LocalStack: 
  - `localstack          1.0.0`
  - `localstack-client   1.35`
  - `localstack-ext      1.0.0`
```


### Anything else?

_No response_
environment["AWS_LAMBDA_FUNCTION_NAME"] = context.function_name
            environment["AWS_LAMBDA_FUNCTION_VERSION"] = context.function_version
            environment["AWS_LAMBDA_FUNCTION_INVOKED_ARN"] = context.invoked_function_arn
            environment["AWS_LAMBDA_FUNCTION_MEMORY_SIZE"] = str(context.memory_limit_in_mb)
        
        queue = Queue()
        lambda_function_callable = self.get_lambda_callable(
            lambda_function, qualifier=inv_context.function_version
        )
        def do_execute():
            
            result = None
            try:
                if lambda_cwd:
                    os.chdir(lambda_cwd)
                    sys.path.insert(0, "")
                if environment:
                    os.environ.update(environment)
                
                self.set_default_env_variables()
                
                result = lambda_function_callable(inv_context.event, context)
            except Exception as e:
                result = str(e)
                sys.stderr.write("%s %s" % (e, traceback.format_exc()))
                raise
            finally:
                queue.put(result)
        process = Process(target=do_execute)
        start_time = now(millis=True)