In black & white photography, you want to use the lowest ISO setting possible and decrease your shutter speed to capture the most contrast possible for the image, since what makes stunning black & white images is the way light and shadow are used to capture a scene.
Higher ISO numbers indicate the image sensor is more sensitive to light, and lower ISO numbers mean the image sensor is less sensitive to light. ISO: ISO indicates how much light is passing through the camera to the image sensor.Of course, the 14-bit, uncompressed format is the largest file because there is no compression, but it’s also the best option to use when shooting black and white photography. 14-bit, uncompressed files contain more image data that can later be tweaked in post processing.
The lossy option means your camera discards any information that it deems unnecessary in an image, while the uncompressed option means the full value of 4,096 or 16,384 tonal values is kept. Your camera may also have lossy and uncompressed options. The 14-bit format captures 16,384 tonal values for each color, per pixel. The 12 bit option captures 4,096 tonal values for each color, per pixel.
Most modern camera offer 12- and/or 14-bit options. Bit Depth/Compression format: The bit depth or compression format refers to the number of tonal values your camera captures with each image.Whether you choose to use this or strictly black & white or color is a matter of personal preference, but be sure whatever you choose you end up with a RAW file for the best possible post processing results. If your camera has this mode, it won’t actually capture both, but the black & white image (JPEG) is processed from the color image (RAW) in the camera (and out of your control). This holds true in black and white photography if you’re shooting in color or straight black and white, but there are some cameras have the ability to capture both color and black & white images with the same shutter fire it’s called RAW + JPEG. Image Format: Conventional wisdom is to use RAW format for all your images.You can read the original ITU-R Recommendation 709 6th edition. You can read the original ITU-R Recommendation 601 7th edition. L = R * 299/1000 + G * 587/1000 + B * 114/1000īy iterating through each pixel you can convert 24-bit to 8-bit or 3 channel to 1 channel for each pixel by using the formula above. ITU-R 601 7th Edition Construction of Luminance formula: One of the standards that can be used is Recommendation 601 from ITU-R (Radiocommunication Sector of International Telecommunication Union or ITU) organization which is also used by pillow library while converting color images to grayscale. So, how do we achieve one value from those three pixel values? We need some kind of averaging. L mode on the other hand only uses one value between 0-255 for each pixel (8-bit). In summary, color images usually use the RGB format which means every pixel is represented by a tuple of three value (red, green and blue) in Python. There are different image hashes that can be used to transform color images to grayscale.