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To extract a picture from S3 using AWS Lambda, follow the below steps:

1. Set up an AWS Lambda function and add S3 read permissions to it.

2. Define an S3 bucket trigger for the Lambda function.

3. In the Lambda function code, use the AWS SDK to access and read the image file from the S3 bucket.

4. Store the contents of the image file in a variable.

5. Use the image processing library of your choice (such as Pillow or OpenCV) to process the image as needed.

6. Once the processing is complete, use the AWS SDK to upload the processed image back to the S3 bucket or some other service.

7. Test the Lambda function to make sure it's working as intended.

Some example code for extracting an image from an S3 bucket in Python might look like this:

import boto3

s3 = boto3.client('s3')

def lambda_handler(event, context):
    bucket = event['Records'][0]['s3']['bucket']['name']
    key = event['Records'][0]['s3']['object']['key']

    response = s3.get_object(Bucket=bucket, Key=key)
    image_content = response['Body'].read()

    # image processing code here

    return {
        'statusCode': 200,
        'body': image_content
    }

This code uses the get_object method of the S3 client to read the contents of an image file from an S3 bucket. The image_content variable is then available to be processed as needed by the application code.